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DTSTART;VALUE=DATE:20241114
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SUMMARY:Free Webinar - Succeeding with Forecast Pro: Compare Forecasts Utility
DESCRIPTION:Click Here to Register Now!\n  \nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, Franklin Rea will offer a deep dive into when and how to build custom models in Forecast Pro. \nForecast Pro’s Expert Selection works well for the majority of items. However\, there are instances where a custom model will need to be selected. In this webinar Franklin will discuss common scenarios where you may want to replace the model chosen by Expert Selection. He will walk through how to use the built in reports to identify these items. And how to use our new Compare Forecasts Utility to build and compare custom models. \nKey Topics that will be discussed include: \n● Using built in reports to identify forecast that need your attention\n● How to use the Compare Forecasts Utility\n● Modeling brand new products\n● Applying events to spikes in your historic data\n● Changing models on items with high forecast errors \nJoin this session to learn how to fully take advantage of the custom model capabilities built into Forecast Pro! \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-compare-forecasts-utility/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20241014
DTEND;VALUE=DATE:20241017
DTSTAMP:20260410T081631
CREATED:20240802T140524Z
LAST-MODIFIED:20240918T140026Z
UID:10000076-1728864000-1729123199@www.forecastpro.com
SUMMARY:Boston Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:October 14-16 Workshop RegistrationContents \n\nWorkshop Overview & Highlights\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \nThe workshop will have various sessions on important forecasting topics: \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n \nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nOctober 14-16 Workshop Registration\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, Oct. 14: 9 am – 5 pm\n\n\n\n\nIntroduction to Forecasting\n\n\nComponents of Data\n\n\nExponential Smoothing\n\n\nForecast Accuracy and Evaluation\n\n\nWorkshop 1\n\n\nEvening Cocktail Reception\n\n\n\n\n\nTuesday\, Oct. 15: 9 am – 5 pm\n\n\n\n\nBox Jenkins (ARIMA) Models\n\n\nEvent-Index Models\n\n\nLarge-Scale Forecasting\n\n\nMultiple-Level Forecasting\n\n\nWorkshop 2\n\n\n\n\n\nWednesday\, Oct. 16: 9 am – 3:30 pm\n\n\n\n\nNew Product Forecasting\n\n\nDynamic Regression\n\n\nForecasting With Machine Learning\n\n\nWorkshop 3\n\n\n\n\nDetailed Agenda\nMonday\, October 14\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nWorkshop 1\nThis first hands-on session familiarizes attendees with the use of the Forecast Pro software package as they are guided through sample exercises applying the ideas discussed during the lectures. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and network after the first day of the workshop. Connect with other attendees and enjoy a drink while enjoying the historic charm of the Courtyard Boston Downtown. \nTuesday\, October 15\nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nLarge-Scale Forecasting\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 2\nIn this session\, attendees are guided through forecasting exercises and have time to work with their own data with the help of the instructors \nWednesday\, October 16\nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nForecasting With Machine Learning\nMachine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition\, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. This session will discuss the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro. \nWorkshop 3\nThis final session consists of a regression example after which attendees have time to work with their own data. \n \nVenue & Accommodations\nThe workshop will be held at the beautiful historic Courtyard Boston Downtown\, located in the heart of downtown just minutes from Boston Common. Attendees can reserve rooms at the hotel at the discounted rate of $299 per night until September 23\, 2024. Reservations can be made online by clicking here or via phone by calling (617) 426-1400. \nCourtyard Boston Downtown\n275 Tremont Street\nBoston\, MA 02116\n(617) 426-1400 \n \nWorkshop Hours \nMonday\, October 14: 9 am – 5 pm\nTuesday\, October 15: 9 am – 5 pm\nWednesday\, October 16: 9 am – 3:30 pm \nLunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n \nRegistration\nRegistration Fee: The registration fee is $1\,950 USD per attendee. A Team Discount price of $1\,550 per attendee is available to organizations registering 3 or more attendees. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \nOctober 14-16 Workshop RegistrationWorkshop Attendees are eligible to receive a discount of up to $750 USD when licensing Forecast Pro Software. \n \nInstructors\n\nEric Stellwagen\nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/business-forecasting-workshop-techniques-best-practices-application-using-forecast-pro/
LOCATION:Boston\, MA
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20241013
DTEND;VALUE=DATE:20241018
DTSTAMP:20260410T081631
CREATED:20240417T220302Z
LAST-MODIFIED:20240417T220302Z
UID:10000075-1728777600-1729209599@www.forecastpro.com
SUMMARY:Dynamics Community Summit North America 2024
DESCRIPTION:We are excited to share that Forecast Pro will be exhibiting at Dynamics Community Summit North America! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. \n\n\n\n\n\nDynamics Community Summit North America is the largest independent gathering of the Microsoft business applications ecosystem of users\, partners and ISVs on the planet\, with 500+ ‘For User\, By User’ educational sessions. \n\n\n\n\n\nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar! \nClick here for more information
URL:https://www.forecastpro.com/event/dynamics-community-summit-north-america-2024/
LOCATION:San Antonio\, TX
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ORGANIZER;CN="Dynamics Communities":MAILTO:summitna@dynamiccommunities.com
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240815
DTEND;VALUE=DATE:20240816
DTSTAMP:20260410T081631
CREATED:20240513T234711Z
LAST-MODIFIED:20240513T234711Z
UID:10000014-1723680000-1723766399@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Overrides
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, James Berry will offer a deep dive into using overrides in Forecast Pro. \nOver the past few years\, Forecast Pro’s Override Grid has evolved from a tool for entering forecast adjustments and comments—allowing you to collaborate with colleagues to establish the final forecasts—into a full-fledged customizable worksheet facility. Now that you can import external information\, define calculated rows and specify alternative baseline forecasts in the Override Grid\, you have the power and flexibility to create custom worksheets for planning and S&OP purposes. \nJoin this session to learn how to unleash the power of the Override Grid! \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-overrides/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240723
DTEND;VALUE=DATE:20240726
DTSTAMP:20260410T081631
CREATED:20240501T222133Z
LAST-MODIFIED:20240529T220149Z
UID:10000012-1721692800-1721951999@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:July 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration\n\n\n\n\nContents\n\nWorkshop Overview\nOne-on-One Post Workshop Consulting Session\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. \nOne-on-One Post Workshop Consulting Session\nHave you ever run into a forecasting challenge and wish you had an expert you could turn to for help? Now you can! \nWorkshop attendees have the exclusive opportunity to add a personalized one-hour consulting session with one of the instructors. Take advantage of this limited offer to spend time with a forecasting expert at the significantly reduced price of $100! \nThis exclusive consulting session is your opportunity to apply what you learned in the workshop with hands-on guidance from an expert. This time is personalized to your specific needs\, whether that’s addressing specific challenges you’re facing\, working one-on-one with an instructor using your own data\, or gaining invaluable insights from a forecasting expert. \nThis session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. Feel free to include any other members of your team that may benefit from this exclusive consulting session. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nJuly 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration\n\n\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. As a workshop attendee\, you can add a private one-hour post workshop consulting session with an instructor for an additional $100. This session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours: July 23 – 25\, 2024: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). \nDecember 3-5\, 2024: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Standard Time (UTC/GMT -5 hours)). \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nJuly 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration
URL:https://www.forecastpro.com/event/july-2024-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/04/BFS-July-2024-Workshop-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240718
DTEND;VALUE=DATE:20240719
DTSTAMP:20260410T081631
CREATED:20240611T173537Z
LAST-MODIFIED:20240611T173537Z
UID:10000015-1721260800-1721347199@www.forecastpro.com
SUMMARY:Free Webinar - The Art and Science of Exponential Smoothing
DESCRIPTION:Register Now!\nDescription:\nExponential Smoothing models are one of the most commonly employed techniques in business forecasting\, favored for their simplicity and precision. In this webinar we’ll present the pros and cons of these models emphasizing when to use them\, how to build the models and how to interpret the results. \nWhether you’re new to exponential smoothing or looking to deepen your understanding\, this webinar provides essential guidance for mastering the art and science behind this workhorse technique. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nWho Should Attend:\nIf your job responsibilities include preparing or analyzing forecasts\, this webinar is for you! The webinar will discuss the ins and outs of exponential smoothing\, providing a deeper understanding of these methods and allowing you to effectively apply exponential smoothing models to your own data. \nSpeakers:\n \nEric Stellwagen will draw from his extensive expertise in forecasting approaches to provide a comprehensive overview of these popular forecasting methods. \n  \nRegister Now!
URL:https://www.forecastpro.com/event/free-webinar-the-art-and-science-of-exponential-smoothing/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/06/2024-Webinar-Exponential-Smoothing-Image-RESIZED.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240629
DTEND;VALUE=DATE:20240704
DTSTAMP:20260410T081631
CREATED:20240417T220307Z
LAST-MODIFIED:20240417T220820Z
UID:10000011-1719619200-1720051199@www.forecastpro.com
SUMMARY:International Symposium on Forecasting 2024
DESCRIPTION:Sign Up for Pre-Conference Workshop\n  \nWe are excited to share that Forecast Pro will be exhibiting and running a pre-conference workshop at the International Symposium on Forecasting 2024 Conference! \nCome visit us at our booth\, and attend our workshop  Business Forecasting: Techniques\, Application and Best Practices  on Sunday\, June 30th. \nThe International Symposium on Forecasting (ISF) is the premier forecasting conference\, attracting the world’s leading forecasting researchers\, practitioners\, and students. Through a combination of keynote speaker presentations\, academic sessions\, workshops\, and social programs\, the ISF provides many excellent opportunities for networking\, learning\, and fun. \nAttending International Symposium on Forecasting 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar!
URL:https://www.forecastpro.com/event/international-symposium-on-forecasting-2024/
LOCATION:Dijon\, France
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/Dijon.jpg
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240609
DTEND;VALUE=DATE:20240613
DTSTAMP:20260410T081631
CREATED:20240417T215934Z
LAST-MODIFIED:20240418T223620Z
UID:10000074-1717891200-1718236799@www.forecastpro.com
SUMMARY:SAPICS 2024 Conference
DESCRIPTION:Sign Up for Pre-Conference Workshop\n  \nWe are excited to share that Forecast Pro will be exhibiting and running a pre-conference workshop at the SAPICS (South African Production and Inventory Control Society) 2024 Conference! \nCome visit us at our booth\, and attend our workshop\, Improving forecast accuracy—a vital key to an efficient supply chain on Sunday\, June 9th. \nFor the last 46 years\, SAPICS has provided an exceptional platform for supply chain professionals to exchange knowledge and practical experiences at its world-class annual conference in South Africa. We hope you can join us at this year’s conference as we delve into the profound changes\, challenges\, best practices and opportunities reshaping the world of supply chain management. \nAttending SAPICS 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar!
URL:https://www.forecastpro.com/event/sapics-2024-conference/
LOCATION:Century City Conference Center\, Cape Town\, South Africa
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/Cape-Town-featured-image-resized-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240520
DTEND;VALUE=DATE:20240524
DTSTAMP:20260410T081631
CREATED:20240417T215928Z
LAST-MODIFIED:20240417T220731Z
UID:10000073-1716163200-1716508799@www.forecastpro.com
SUMMARY:Epicor Insights 2024
DESCRIPTION:We are excited to share that Forecast Pro will be exhibiting and speaking at Epicor Insights 2024! \nCome visit us at booth #207\, and attend our talk Improving Your Forecasting—The Key to Successful Demand Planning on Wednesday\, May 22nd. \nThis is an event for Epicor customers\, authorized partners\, and invited guests to connect and come away with actionable steps and stronger skills to help you take on your biggest challenges and capture new opportunities. \nAttending Epicor Insights 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that smoothly integrates with Epicor. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar! \nClick here for more information
URL:https://www.forecastpro.com/event/epicor-insights-2024/
LOCATION:Nashville\, TN
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/chad-morehead-AHnmupFDWCc-unsplash-scaled.jpg
ORGANIZER;CN="Epicor":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240516
DTEND;VALUE=DATE:20240517
DTSTAMP:20260410T081631
CREATED:20240215T235439Z
LAST-MODIFIED:20240215T235439Z
UID:10000071-1715817600-1715903999@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: New Products
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn the second edition of the Succeeding with Forecast Pro webinar series Franklin Rea will address the common\, yet difficult task of forecasting new products. \nFranklin will demonstrate best practices\, strategies\, and examples related to the unique challenges that accompany forecasting new products. \nThis free session will cover: \n● Best practices for introducing new products into Forecast Pro and how to track them \n● How product mapping works and when you should use it \n● Strategies for modeling new products in Forecast Pro \n      ● The ins and outs of managing product lifecycles \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-new-products/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/02/hyundai-motor-group-h2rWePLKxvs-unsplash-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240502
DTEND;VALUE=DATE:20240503
DTSTAMP:20260410T081631
CREATED:20240410T202000Z
LAST-MODIFIED:20240411T174330Z
UID:10000072-1714608000-1714694399@www.forecastpro.com
SUMMARY:Free Webinar - Unlocking Precision: Leveraging AI for Enhanced Forecasting and Inventory Management
DESCRIPTION:Register Now!\nDescription:\nIn today’s dynamic business landscape\, accurate forecasting and optimal inventory management are imperative for sustainable growth and profitability. Traditional methods often fall short in capturing the supply chain dynamics. However\, advancements in Artificial Intelligence (AI) have revolutionized this realm\, offering unprecedented opportunities to enhance forecasting precision and optimize inventory health. \nThis webinar delves into the transformative power of AI-based solutions in forecasting. Through real-world examples and expert insights\, attendees will discover how AI algorithms analyze vast datasets\, identify patterns\, and forecast demand with unparalleled accuracy. This webinar will also explore how these insights empower organizations to streamline operations\, reduce stockouts\, minimize excess inventory\, and ultimately improve profitability. \nKey topics to be covered include: \n• Understanding the role of AI in forecasting and inventory management.\n• Exploring AI-driven demand forecasting models and their benefits.\n• Case studies showcasing successful integration of AI solutions in diverse industries.\n• Overcoming challenges and best practices for adopting AI-based forecasting systems. \nJoin us as we uncover the transformative potential of AI in revolutionizing forecast accuracy and inventory health. Whether you’re a supply chain professional\, inventory manager\, or business leader\, this webinar promises invaluable insights to stay ahead in today’s competitive landscape. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nSheetal Yadav is a seasoned supply chain specialist with a Bachelor’s in Engineering and an MBA in Supply Chain Management. With over 8 years of consulting experience\, she excels in statistical techniques\, data modeling\, and supply chain planning. She has worked with clients across diverse industries including consumer goods\, chemical paints\, pharmaceuticals\, and retail\, delivering tailored solutions to optimize planning and forecasting processes. \nSheetal’s expertise lies in harnessing data-driven approaches to address complex supply chain challenges\, driving operational excellence and tangible results for her clients. \nThis webinar is offered by Anamind\, a reseller of Forecast Pro based in India\, in collaboration with Business Forecast Systems. \n  \nRegister Now!
URL:https://www.forecastpro.com/event/free-webinar-unlocking-precision-leveraging-ai-for-enhanced-forecasting-and-inventory-management/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/04/Sheetal-Webinar-Image-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240226
DTEND;VALUE=DATE:20240229
DTSTAMP:20260410T081631
CREATED:20231218T162629Z
LAST-MODIFIED:20240207T155314Z
UID:10000068-1708905600-1709164799@www.forecastpro.com
SUMMARY:Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:Sold Out\n \nContents\n\nWorkshop Overview & Highlights\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \n\n\n\nThe workshop will have various sessions on important forecasting topics:  \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n \n\n \nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nSold Out\n\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, February 26: 9 am – 5 pm\n\nIntroduction to Forecasting\nComponents of Data\nExponential Smoothing\nForecast Accuracy and Evaluation\nWorkshop 1\nEvening Cocktail Reception\n\n\nTuesday\, February 27: 9 am – 5 pm\n\nBox Jenkins (ARIMA) Models\nEvent-Index Models\nLarge-Scale Forecasting\nMultiple-Level Forecasting\nWorkshop 2\n\n\n\nWednesday\, February 28: 9 am – 3:30 pm\n\nNew Product Forecasting\nDynamic Regression\nForecasting With Machine Learning\nWorkshop 3\n\n\nDetailed Agenda\nMonday\, February 26\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nWorkshop 1\nThis first hands-on session familiarizes attendees with the use of the Forecast Pro software package as they are guided through sample exercises applying the ideas discussed during the lectures. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and network after the first day of the conference. Connect with other attendees and enjoy a drink while enjoying the poolside Oasis Bar & Grill. \n  \nTuesday\, February 27\nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nLarge-Scale Forecasting\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 2\nIn this session\, attendees are guided through forecasting exercises and have time to work with their own data with the help of the instructors \nWednesday\, February 28\nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nForecasting With Machine Learning\nMachine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition\, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. This session will discuss the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro. \nWorkshop 3\nThis final session consists of a regression example after which attendees have time to work with their own data. \n\n\n\n\n\nVenue & Accommodations\nImage courtesy of https://www.wyndhamlakebuenavista.com/ \n\nThe workshop will be held at Wyndham Lake Buena Vista located just minutes from Disney Springs and the theme park. Attendees can reserve rooms at the hotel at the discounted rate of $99 per night until February 11\, 2024. Reservations can be made online by clicking here or via phone by calling (877) 999-3223. \nWyndham Lake Buena Vista Disney Springs Resort Area\n1850 Hotel Plaza Boulevard\nLake Buena Vista\, FL 32830-8406\nhttps://www.wyndhamlakebuenavista.com/ \n(407) 828-4444 \n\n\nWorkshop Hours \nMonday\, February 26: 9 am – 5 pm\nTuesday\, February 27: 9 am – 5 pm\nWednesday\, February 28: 9 am – 3:30 pm \nLunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n\nRegistration\nRegistration Fee: The registration fee is $1\,750 USD per attendee. A Team Discount price of $1\,395 per attendee is available to organizations registering 3 or more attendees. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n \nSold Out\n\nWorkshop Attendees are eligible to receive a discount of up to $750 USD when licensing Forecast Pro Software.  \n \n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nFranklin Rea \n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\nSold Out
URL:https://www.forecastpro.com/event/orlando-2024-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Orlando\, FL
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/12/job-5382501_1280.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240215
DTEND;VALUE=DATE:20240216
DTSTAMP:20260410T081631
CREATED:20240111T171056Z
LAST-MODIFIED:20240123T180511Z
UID:10000070-1707955200-1708041599@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Project Collaboration
DESCRIPTION:Click Here to Register Now!\nDescription:\nThroughout 2024\, James and Franklin will present a 4 part webinar series: Succeeding with Forecast Pro. In the first webinar in this new quarterly series\, you’ll learn ways to improve your collaboration in Forecast Pro TRAC. \nThis free session will take a deep dive into Forecast Pro TRAC’s Project Collaboration capabilities. \nJames Berry will discuss: \n● How to set up a Parent-Child project \n● How overrides and external data get carried to and from the Parent project \n● Examples of Project Collaboration when slicing up the hierarchy by sales rep and by geography \n● When hierarchy nodes should or should not be locked \n● Whether or not to enable/disable forecasting \n● Best practices in organizing team efforts throughout the forecasting cycle (including process\, roles\, and timelines) \nThis webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-project-collaboration/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/01/Untitled-design-12.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240125
DTEND;VALUE=DATE:20240126
DTSTAMP:20260410T081631
CREATED:20240105T182059Z
LAST-MODIFIED:20240123T180428Z
UID:10000069-1706140800-1706227199@www.forecastpro.com
SUMMARY:Free Webinar: Effective Strategies for Forecasting a Product Hierarchy
DESCRIPTION:Click Here to Register Now!\nDescription:\nDoes your organization need a consistent set of forecasts across products and/or geographies? If so\, attend this free webinar to master hierarchical forecasting and navigate the challenges that come with it. \nDuring the one-hour session\, Eric Stellwagen and Sarah Darin will address key questions like: \n• Should my organization strive for “one-number” forecasts across departments?\n• How should I define the hierarchy to facilitate accurate forecasting?\n• What are the pros and cons of bottom-up\, top-down\, and custom allocations?\n• How do I know which reconciliation approach is right for my organization? \nUsing real-world examples\, this session compares and contrasts different strategies for forecasting a hierarchy emphasizing best practices throughout. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-effective-strategies-for-forecasting-a-product-hierarchy/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/01/Hierarchy-Webinar-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231019T130000
DTEND;TZID=America/New_York:20231019T140000
DTSTAMP:20260410T081631
CREATED:20230922T214837Z
LAST-MODIFIED:20230926T201921Z
UID:10000067-1697720400-1697724000@www.forecastpro.com
SUMMARY:Free Webinar: Forecasting with Machine Learning Demystified
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn today’s fast-paced business environment there is a lot of buzz around how transformative Machine Learning (ML) can be. But how exactly does ML work? And does it have applications in demand forecasting? \nRecent research suggests Machine Learning can improve your forecasting. But although ML offers a powerful set of tools to enhance forecasts\, many people find it intimidating. \nThis free educational webinar will demystify the world of forecasting with ML\, making it accessible and understandable for both novice and seasoned forecasting professionals. \nIn this one-hour webinar Sarah Darin will discuss: \n• The fundamentals of Machine Learning in forecasting \n• How to identify scenarios where ML can improve your forecasting accuracy \n• How to use Forecast Pro’s completely automatic ML option \n• Practical tips and strategies for building custom ML models in Forecast Pro \nJoin us to understand how Machine Learning can transform your forecasting process and empower your organization to make better data-driven decisions. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-forecasting-with-machine-learning-demystified/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/09/October-2023-Webinar-Image-SMALL.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231015
DTEND;VALUE=DATE:20231021
DTSTAMP:20260410T081631
CREATED:20230803T180236Z
LAST-MODIFIED:20230822T180801Z
UID:10000010-1697328000-1697846399@www.forecastpro.com
SUMMARY:Dynamics Community Summit North America
DESCRIPTION:Click here for more information\n  \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at Dynamics Community Summit North America— stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. \n\n\n\n\n\nDynamics Community Summit North America is the largest independent gathering of the Microsoft business applications ecosystem of users\, partners and ISVs on the planet\, with 500+ ‘For User\, By User’ educational sessions.  Community Summit is a destination unlike any other and delivers experiences that: \n•  brings a community of new attendees and “veterans” closer \n•  fosters long-term collaboration with like-minded peers \n•  optimizes your Microsoft Business Applications with a Partner Ecosystem of services and solutions \n•  accelerates your Microsoft journey by decreasing complexities \n•  deepens your knowledge of the applications you use every day \n\n\n\n\n\n\n\n\nBusiness Forecast Systems  will be exhibiting at Dynamics Community Summit NA — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. You can find us at Booth #1438 at the following show hours: \n•  Tuesday\, October 17 @ 5:30pm – 8:30pm \n•  Wednesday\, October 18 @ 12:00pm – 6:00pm \n•  Thursday\, October 19 @ 12:00pm – 6:00pm \nAttending Dynamics Community Summit NA? We’d love to see you! Reach out to us to schedule a time to meet up.
URL:https://www.forecastpro.com/event/dynamics-community-summit-north-america/
LOCATION:Charlotte\, NC
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2023/08/charlotte-featured-image-scaled.jpg
ORGANIZER;CN="Dynamics Communities":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230919
DTEND;VALUE=DATE:20230922
DTSTAMP:20260410T081631
CREATED:20230719T203802Z
LAST-MODIFIED:20230911T211246Z
UID:10000008-1695081600-1695340799@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:September Sold Out\n\n\n\n\nContents\n\nWorkshop Overview\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nOffice Hours\nQuestions & Answers \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nSeptember Sold Out\n\n\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours:  \nSeptember 19-21\, 2023: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on Tuesday\, September 26. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nFranklin Rea \n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nSeptember Sold Out
URL:https://www.forecastpro.com/event/september-2023-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/07/BFS-September-2023-Workshop-Image-SOLD-OUT-SMALL.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20230914T103000
DTEND;TZID=Australia/Sydney:20230914T113000
DTSTAMP:20260410T081632
CREATED:20230728T192248Z
LAST-MODIFIED:20230803T223933Z
UID:10000009-1694687400-1694691000@www.forecastpro.com
SUMMARY:Free Webinar: AI Driven Forecasting – Fact or Fiction?
DESCRIPTION:Click Here to Register Now!\nDescription:\nAs AI becomes more advanced and engrained in our lives\, it is normal to ponder its various business applications. \nThere is potential for AI & Machine Learning (ML) to be useful in demand forecasting – but does it actually work in practice\, or only in theory? Recent forecasting research suggests that ML can be used to improve your forecasting. \nIn this free one-hour webinar Sarah Darin will provide an overview of how a Machine Learning algorithm like the one implemented in Forecast Pro works\, and discuss the benefits of its application in demand forecasting. \nDuring this one-hour webinar you will learn: \n• The basics of Machine Learning powered forecasting \n• When ML is likely to improve your forecasts \n• How to use the completely automatic ML option in Forecast Pro \n• How to build custom ML models in Forecast Pro \nThis session accommodates time zones in the Asia Pacific Region. Can’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nThis webinar is offered by Supply Chain Business Solutions\, an Asia Pacific Region reseller of Forecast Pro based in Australia\, in collaboration with Business Forecast Systems. \n  \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-ai-driven-forecasting-fact-or-fiction/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/07/APAC-ML-Webinar-Image-SMALL.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230911
DTEND;VALUE=DATE:20230914
DTSTAMP:20260410T081632
CREATED:20230803T223815Z
LAST-MODIFIED:20230803T223815Z
UID:10000066-1694390400-1694649599@www.forecastpro.com
SUMMARY:ASCM Connect 2023: North America
DESCRIPTION:Click here for more information\n  \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at ASCM Connect 2023: North America — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nASCM Connect 2023: North America is the destination for end-to-end supply chain education\, networking and innovation. It is three days filled with engaging speakers\, action-oriented sessions\, and incredible ideas to grow your supply chain. \nThere’s something for everyone — expect to: \n• Build knowledge: Topics cover every aspect of the supply chain\, with a focus on today’s trends and hot topics \n• Get inspired: Three days of influential keynote speakers plus sessions led by industry experts who have overcome the biggest challenges that you’re facing right now. \n•  See supply chain in action: Explore companies and distilleries that call Louisville home on one of our Facility Tours\, visit the latest and greatest tech and engage in opportunities all in the Expo Hall. \n• Have fun: on us at our After-Dark party\, Movie Night and catered lunches. Make and share new memories with your supply chain colleagues. And maybe enjoy a little bourbon too! \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at ASCM Connect 2023: North America — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. You can find us at Booth #423 at the following show hours: \n• Monday\, September 11 @ 11:30 am – 5:30 pm \n• Tuesday\, September 12 @ 11:30 am – 5:30 pm \nAttending ASCM Connect 2023: North America? We’d love to see you! Reach out to us to schedule a time to meet up.
URL:https://www.forecastpro.com/event/ascm-connect-2023-north-america/
LOCATION:Louisville\, KY
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2023/08/louisville-ky-scaled.jpg
ORGANIZER;CN="Association for Supply Chain Management (ASCM)":MAILTO:support@ascm.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230625T090000
DTEND;TZID=America/New_York:20230625T160000
DTSTAMP:20260410T081632
CREATED:20230322T192729Z
LAST-MODIFIED:20230421T214921Z
UID:10000005-1687683600-1687708800@www.forecastpro.com
SUMMARY:ISF 2023 Workshop | Business Forecasting: Techniques\, Application and Best Practices
DESCRIPTION:Business Forecast Systems (the makers of Forecast Pro) will be running a preconference workshop at the 2023 International Symposium on Forecasting. The workshop is entitled Business Forecasting: Techniques\, Application and Best Practices and will take place on Sunday\, June 25th. We’ll also be exhibiting at the conference which takes place June 25-28—stop by and say hello! \nContents\n\nWorkshop Overview\nAgenda\nRegistration\nInstructors\n\nWorkshop Overview\nThis workshop surveys commonly implemented business forecasting methods\, explains how they work conceptually\, reveals their strengths and limitations\, and offers best practices for applying them in a business environment. \nNumerous real-life examples from a range of industries will be presented. The workshop will utilize the Forecast Pro software to illustrate how the techniques are applied to corporate data. \nYou will leave the workshop with a working knowledge of quantitative and qualitative forecasting methods\, enabling you to improve your forecast process and your forecast accuracy . \n \n\n\n\nAgendaAgenda\nPart I: Introduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, and resources for forecasters. \nPart II: Univariate Forecasting\nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models\, Croston’s intermittent demand model and a model designed to forecast items that exhibit significant volume only at certain times of the year. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \n  \nBox-Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures\, and model diagnostics. \nPart III: Multivariate Forecasting\nA discussion of the benefits and requirements for using multivariate forecasting methods followed by a closer look at event-index models\, machine learning approaches\, and dynamic regression models. \n  \nEvent-index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, stock outs and other events that move around the calendar. This unit addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \n  \nForecasting with Machine Learning\nAn overview of the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, and the steps involved in generating ML forecasts. A particular emphasis will be placed on extreme gradient boosted trees\, an ML approach that performed well in the M5 forecasting competition. \n  \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build a regression model\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables. \nPart IV: Post Workshop Video Access\nIn addition to the live workshop\, attendees will have two weeks of access to an on-demand video library of the topics that will not be presented live. These include: \n  \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \n  \nForecasting Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \n  \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \n  \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include discussion of the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \n  \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification\, and a review of popular methods including item supersession\, forecasting by analogy and the Bass diffusion model. \n\n\nRegistration\n\n\n\n\n\nThis workshop is part of the 2023 International Symposium on Forecasting. For more details on the event and how to sign up\, visit the ISF website.  \nHours: The Business Forecasting Workshop will take place on Sunday\, June 25th from 9am to 4pm. \nCost: There is a fee of $150 for this full day workshop. When registering for the symposium\, you will be given the option to sign up. \n\n\n\n\n\n\n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\n\n\n\nLearn More
URL:https://www.forecastpro.com/event/isf-2023-workshop-business-forecasting-techniques-application-and-best-practices/
LOCATION:Charlottesville\, VA
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/03/isf-workshop-image-w-logo.png
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230625
DTEND;VALUE=DATE:20230629
DTSTAMP:20260410T081632
CREATED:20230331T204530Z
LAST-MODIFIED:20230331T204614Z
UID:10000006-1687651200-1687996799@www.forecastpro.com
SUMMARY:International Symposium on Forecasting 2023
DESCRIPTION:The International Symposium on Forecasting (ISF) is the premier forecasting conference\, attracting the world’s leading forecasting researchers\, practitioners\, and students. Through a combination of keynote speaker presentations\, academic sessions\, workshops\, and social programs\, the ISF provides many excellent opportunities for networking\, learning\, and fun. \nBusiness Forecast Systems (the makers of Forecast Pro) will be running a preconference workshop entitled\, Business Forecasting: Techniques\, Application and Best Practices on Sunday\, June 25th  and will be exhibiting at the conference—stop by and say hello!
URL:https://www.forecastpro.com/event/international-symposium-on-forecasting-2023/
LOCATION:Charlottesville\, VA
ATTACH;FMTTYPE=image/webp:https://www.forecastpro.com/wp-content/uploads/2023/03/charlottesville-1200x675-1.webp
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230515
DTEND;VALUE=DATE:20230519
DTSTAMP:20260410T081632
CREATED:20230314T221238Z
LAST-MODIFIED:20230324T192420Z
UID:10000004-1684108800-1684454399@www.forecastpro.com
SUMMARY:Epicor Insights 2023
DESCRIPTION:Click here for more information\n  \nWe are excited that Forecast Pro will have a booth at Epicor Insights 2023! This is an event for Epicor customers\, authorized partners\, and invited guests to connect and come away with actionable steps and stronger skills to help you take on your biggest challenges and capture new opportunities\, like how to: \n\n\n• Increase productivity and reduce costs through simplified and automated workflows\n• Make informed decisions with advanced data integration\, analytics\, reporting\, and forecasting\n• Enhance your customers’ experience and deepen their loyalty\n• Improve the security and scalability of your data\, and your business\n\n\nThis event provides networking and education opportunities to make your organization the most efficient it can be — learn from industry experts and your peers how to maximize the value of your Epicor investment.\n  \n\nStop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that smoothly integrates with Epicor. You can visit us at the Solutions Pavilion at the following times: \n  \n\n\n• Monday\, May 15 | 5:30 pm – 7:30 pm\n• Tuesday\, May 16 | 10:00 am – 7:00 pm\n• Wednesday\, May 17 | 10:00 am – 5:00 pm\n• Thursday\, May 18 | 9:00 am – 1:30 pm\n\n\n\n  \nAttending Epicor Insights? We’d love to see you! Reach out to us to schedule a time to meet up.
URL:https://www.forecastpro.com/event/epicor-insights-2023/
LOCATION:Las Vegas\, NV
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2023/03/tommao-wang-H7Id7A6emCU-unsplash-scaled.jpg
ORGANIZER;CN="Epicor":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230509
DTEND;VALUE=DATE:20230512
DTSTAMP:20260410T081632
CREATED:20230301T200039Z
LAST-MODIFIED:20230321T165510Z
UID:10000002-1683590400-1683849599@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:May 9-11\nOnline Workshop\nRegistration\n \nContents\n\nWorkshop Overview\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nExtensions to Exponential Smoothing \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nEvent-Index Models \nMultiple-Level Forecasting \nNew Product Forecasting \nOffice Hours\nQuestions & Answers \nAdditional On-Demand Presentations\nComponents of Data \nBox-Jenkins (ARIMA) Models \nForecasting with Machine Learning \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nMay 9-11\nOnline Workshop\nRegistration\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours:  \nMay 9-11\, 2023: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on Tuesday\, May 16. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n\n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\n\n\n\nMay 9-11\nOnline Workshop\nRegistration
URL:https://www.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-may-2023/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230503T140000
DTEND;TZID=Europe/Amsterdam:20230503T170000
DTSTAMP:20260410T081632
CREATED:20230421T214349Z
LAST-MODIFIED:20230421T215007Z
UID:10000007-1683122400-1683133200@www.forecastpro.com
SUMMARY:Master Class: Effective Forecasting Strategies
DESCRIPTION:You would be surprised how much you can improve your supply chain just by using effective forecasting strategies!\n  \nThis is why we are offering a master class to help you understand which forecasting methods can help optimize your business.\n  \nOn May 3 Eric Stellwagen will be in the Netherlands to teach a master class and share his insights on the most effective forecasting strategies for various business scenarios.\n  \nEric will demonstrate how you can use Forecast Pro to support your forecasting process\, and will discuss how leveraging additional inputs can improve forecast accuracy.\n  \nThis class is offered in collaboration with ATIM\, a verified Forecast Pro distributor.\n\n \n\n\n\nLocation and Details\nDate: May 3\, 2023\nTime: 14:00 – 17:00\nCost: €35\nLocation: Fletcher Hotel\, Rosmalen\, Netherlands\n\n\n  \nThere will be a networking cocktail reception after the conclusion of the master class.\n\n  \n\n \n\n\nAgenda\n14:00 Reception\n14:15 Introductions – Eric Stellwagen and Forecast Pro\n14:45 Using Forecast Pro to Support Your Forecasting Process\n15:45 Beyond Extrapolation: Using Additional Inputs to Improve Forecast Accuracy\n16:45 Questions & Wrap Up\n17:00 End of master class & start of networking cocktail reception\n\n\n\n\n\n\n\n\nLearn More
URL:https://www.forecastpro.com/event/master-class-effective-forecasting-strategies/
LOCATION:Fletcher Hotel\, Rosmalen\, Netherlands
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230418
DTEND;VALUE=DATE:20230421
DTSTAMP:20260410T081632
CREATED:20230303T215045Z
LAST-MODIFIED:20230321T173819Z
UID:10000003-1681776000-1682035199@www.forecastpro.com
SUMMARY:Taller En Línea: Técnicas de Pronósticos de Demanda\, Mejores Prácticas y Aplicaciones Utilizando Forecast Pro
DESCRIPTION:18-20 de abril\nTaller En Línea\nRegistro\n\nContenido\nDescripción del Taller \nQuién debería asistir \nAgenda y Descripciones de las presentaciones \nRegistro \nInstructores \nDescripción del Taller\nAl finalizar este extenso taller de 3 días\, los participantes tendrán conocimiento y comprensión de técnicas de pronósticos\, incluyendo su funcionamiento y aplicación en un ambiente de negocios real. El taller se enfoca en los métodos de pronósticos de demanda que son más comúnmente utilizados\, explica conceptualmente cómo funcionan\, discute sus ventajas y desventajas\, y demuestra las mejores prácticas para implementarlos en un ambiente de trabajo real utilizando Forecast Pro. \nEl taller consta de 13 horas de presentaciones en vivo\, distribuidas a lo largo de 3 días. En estas sesiones tendrás la oportunidad de hacer preguntas a los instructores en tiempo real\, así como interactuar con los demás participantes. \nEl taller también incluye un acceso por 2 semanas al Centro de Recursos del taller y una sesión de 2 horas de consultas libre. El Centro de Recursos proporciona acceso a versiones pregrabadas de los 8 módulos presentados durante el taller\, así como 4 módulos adicionales que no son cubiertos en las sesiones en vivo (subtitulados del inglés). Las horas de consulta libre consisten en 2 horas la semana posterior al taller\, donde los instructores se encontrarán disponibles para contestar preguntas sobre los temas cubiertos en el taller. \n \n¿Quién debería asistir?\nEl taller es de gran valor para cualquier persona cuyas responsabilidades en el trabajo incluyan la preparación o análisis de pronósticos – tener conocimiento previo de estadística no es esencial para este taller. Los tutoriales utilizan Forecast Pro y datos de casos reales para proporcionar un entendimiento a fondo de los métodos de pronósticos y para demostrar las mejores prácticas; estas lecciones son aplicables sin importar el programa o software de pronósticos que tu organización utilice. \n \n  \n \n\n\n\nVista General de la AgendaDescripciones de PresentaciónVista General de la Agenda\nDía 1\nIntroducción a los Pronósticos \nSuavización Exponencial \nDía 2\nExtensiones de Suavización Exponencial \nPrecisión y Evaluación de los Pronósticos \nIdentificando Problemas en tu Proceso de Pronósticos \nDía 3\nModelos de Índices de Eventos \nPronósticos en Múltiples Niveles \nPronósticos de Productos Nuevos \nPresentaciones Adicionales (videos subtitulados)\nComponentes de los Datos \nModelos Box-Jenkins (ARIMA) \nPronósticos con Machine Learning \nRegresión Dinámica \nDescripciones de Presentación\nIntroducción a los Pronósticos\nUna explicación general a los pronósticos de la demanda y sus múltiples usos dentro de una organización. Los temas incluyen enfoques de pronósticos\, características de los datos\, el rol del juicio y experiencia\, selección de métodos de pronósticos apropiados para conjuntos de datos variados y recursos para Forecasters. \nComponentes de los Datos\nUn vistazo a profundidad de los distintos componentes encontrados en datos de series de tiempo incluyendo tendencia\, patrones estacionales\, ciclos de negocios\, variaciones por días del calendario\, intervenciones (eventos) y ruido. La explicación incluye las formas que pueden tomar los componentes\, detección de componentes locales vs. globales\, interpretación de indicadores de ciclos de negocios y el uso de rutinas de descomposición. \nSuavización Exponencial\nUna variedad de técnicas de suavización exponencial con un énfasis particular en la familia de modelos Holt-Winters. Los temas incluyen las ventajas y desventajas de utilizar estos modelos\, cuándo es mejor utilizarlos\, cómo funcionan\, identificación de componentes del modelo\, optimización de parámetros y diagnóstico de modelos. \nExtensiones de Suavización Exponencial\nEsta sesión analiza tres útiles extensiones a la familia de modelos de suavización exponencial. La primera es el modelo NA-CL que usualmente mejorará la precisión de los pronósticos para conjuntos de datos que muestran una “demanda de temporada” donde la mayoría de la demanda ocurre en momentos específicos del año (por ejemplo\, vacunas contra la influenza). La segunda es el Modelo de Demanda Intermitente de Croston que es utilizado para pronosticar datos que muestran periodos con demanda de cero frecuentemente. La tercera es el Modelo de Componentes Personalizados que permite estimar algunos componentes desde los datos y que el Forecaster los ajuste. \nModelos Box-Jenkins (ARIMA)\nUn análisis del uso de los modelos ARIMA para pronósticos de la demanda. Los temas incluyen las ventajas y desventajas de utilizar estos modelos\, cómo y cuándo deben de ser aplicados\, procedimientos de identificación automática y diagnósticos de modelos. \nPrecisión y Evaluación de los Pronósticos\nUn análisis detallado a la evaluación de la precisión de los métodos de pronósticos. Los temas incluyen la diferenciación entre errores del modelo y fuera de la muestra\, una variedad de estadísticas para medición de errores\, un resumen de resultados de competencias de pronósticos y una explicación sobre cómo utilizar reportes de seguimiento y realizar simulaciones como técnica de predicción de desempeño del modelo. \nIdentificando Problemas en tu Proceso de Pronósticos\nEnfoques para concentrarse en artículos críticos cuando se pronostican grandes cantidades de datos. Los temas incluyen la evaluación y generación de pronósticos a niveles de artículo\, clasificación ABC (Pareto) y filtros\, detección y corrección de datos atípicos\, reportes de excepciones y medición de precisión en múltiples series de tiempo. \nModelos de Índices de Eventos\nLos modelos de índices de eventos extienden la funcionalidad de los modelos de suavización exponencial al proporcionar ajustes para promociones\, paros o faltantes y otros eventos que no se basan en el calendario regular. Esta sesión habla sobre cómo funcionan estos modelos\, cómo y cuándo deben ser utilizados y cómo personalizar su diseño para que se ajuste mejor a tus necesidades. \nPronósticos en Múltiples Niveles\nEsta sesión analiza las técnicas de pronósticos de jerarquías. Los temas incluyen la necesidad de pronósticos en diferentes niveles\, jerarquías de producto vs. geográficas\, estrategias de reconciliación\, enfoques top-down vs. bottom-up\, el uso de asignación proporcional y ajustes de estacionalidad. \nPronósticos de Productos Nuevos\nEsta sesión analiza una variedad de enfoques para pronósticos de productos nuevos. Los temas abarcan las ventajas y desventajas de diferentes métodos basados en la clasificación de un nuevo producto y una revisión de métodos típicos incluyendo remplazos de artículos\, pronóstico por analogía y el modelo de difusión de Bass. \nPronósticos con Machine Learning\nEsta sesión describe los conceptos básicos y beneficios de la generación de pronósticos con Machine Learning (ML)\, técnica impulsada por inteligencia artificial. Los temas incluyen conceptos básicos de los pronósticos con Machine Learning\, cuándo utilizar ML para mejorar la exactitud\, cómo utilizar la funcionalidad automática de ML dentro de Forecast Pro y cómo crear modelos personalizados de ML en Forecast Pro. \nRegresión Dinámica \nUn análisis detallado de los pros y contras de los pronósticos de regresión. Los temas incluyen cuándo es mejor aplicar modelos de regresión\, cómo construir estos modelos\, mínimos cuadrados ordinarios\, indicadores que conducen un comportamiento\, variables desfasadas\, modelos Cochrane-Orcutt\, prueba de hipótesis y el uso de variables “dummy”. \n\n\nRegistro\n\n18-20 de abril\nTaller En Línea\nRegistro\n\n\nCosto del Registro: El costo de registro es de $495 USD por participante. Un Descuento de Equipo se encuentra disponible para organizaciones que registren a 3 o más participantes. \nNúmero de Participantes: Debido a la naturaleza interactiva de las presentaciones en vivo\, la asistencia se limita a 25 participantes. \nHorario:  \n18-20 de abril de 2023: El taller será impartido de 9:00 am a 1:30 pm cada día (Hora Estándar Central (UTC/GMT -6)). La sesión de horas de consulta libre se llevará a cabo de 9:00 a.m. a 11:00 a.m. martes\, 25 de abril. \nPolíticas de Cancelación: El taller tiene un cupo limitado y le pedimos que si requiere cancelar nos informe lo antes posible. Los participantes podrán recibir un reembolso total si su cancelación se realiza mínimo 14 días antes del inicio del taller. Los participantes que no se presenten o no realicen la cancelación con mínimo 14 días de anticipación no recibirán un reembolso. Sustitución de participantes se puede realizar en cualquier momento. \n\n\n\n\n\n\n\n\nInstructores\nEste taller está siendo presentado por FBP Systems\, en colaboración con Business Forecast Systems\, para apoyar a la comunidad de pronósticos de habla hispana. \n\nArmando González \nArmando González es el director de FBP Sytems\, un distribuidor autorizado de Forecast Pro. Armando es también un Consultor Internacional con muchos años de experiencia en la implantación de procesos de pronósticos\, mejora de procesos con simulación\, así como análisis y modelado de negocios. Ha impartido innumerables cursos de técnicas de pronósticos\, simulación de procesos y modelos de toma de decisiones para múltiples en México y Latinoamérica. Entre algunas de estas empresas: Coca Cola\, Merck\, Heinz\, Eaton\, Brigthstar\, General Mills\, Etc. Armando es un colaborador en la traducción al español del software de pronósticos estadísticos para negocios\, Forecast Pro y es un instructor de Forecast Pro\, herramienta de pronósticos y planeación de demanda. \n  \n\n\nDaniel González\nDaniel González forma parte de FBP Systems\, distribuidor autorizado de Forecast Pro. Desde 2017 ha colaborado con Business Forecast Systems\, creadores de Forecast Pro\, ofreciendo material educativo y documentación de apoyo de Forecast Pro para forecasters de habla hispana. Se especializó en Administración de la Cadena de Suministro en Humber College\, localizado en Canadá. Su experiencia en el entorno global le ha proporcionado conocimiento y herramientas útiles a través de una variedad de industrias. \n\n\n\n\n\n\n\n18-20 de abril\nTaller En Línea\nRegistro
URL:https://www.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-april-2023-spanish/
LOCATION:Taller Interactivo Virtual En Vivo
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T133000
DTEND;TZID=America/New_York:20230413T143000
DTSTAMP:20260410T081632
CREATED:20230125T171601Z
LAST-MODIFIED:20230313T223257Z
UID:10000065-1681392600-1681396200@www.forecastpro.com
SUMMARY:Free Webinar: Beyond Extrapolation — Using Additional Inputs to Improve Forecast Accuracy
DESCRIPTION:Click Here to Register Now!\nDescription:\nOne of the biggest challenges in forecasting is creating accurate forecasts that leverage the variables that impact demand. \nMany forecasting processes rely on univariate (single input) models that extrapolate the demand history. Forecast Pro’s Expert Selection mode automates this process and\, in many cases\, works quite well. \nHowever\, univariate models don’t always capture the whole story. If your demand is impacted by external forces (e.g.\, price\, promotions\, weather\, etc.) then leveraging additional inputs will often improve forecast accuracy. \nIn this free one-hour webinar Eric Stellwagen will explore different types of model inputs and explain when they can add value. He will discuss the following inputs and illustrate how they are applied using Forecast Pro: \n\nWeighting Transformations\nAnalogy Series\nEvent Schedules\nExplanatory Variables\nDummy Variables\n\nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping leading organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. Eric served on the board of directors of the International Institute of Forecasters (IIF) for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \n  \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-beyond-extrapolation-using-additional-inputs-to-improve-forecast-accuracy/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;TZID=America/Mexico_City:20230307T120000
DTEND;TZID=America/Mexico_City:20230307T130000
DTSTAMP:20260410T081632
CREATED:20230208T000821Z
LAST-MODIFIED:20230208T001923Z
UID:10000001-1678190400-1678194000@www.forecastpro.com
SUMMARY:Seminario Web Gratuito: Múltiples Pronósticos en Múltiples Niveles
DESCRIPTION:¡Regístrate Ahora!\nDescripción:\nUna de las consideraciones más importantes al generar pronósticos es la forma en que se organiza el portafolio o jerarquía de productos. En este Webinar gratuito de una hora\, Daniel González\, distribuidor de Forecast Pro\, explicará algunas de las técnicas para realizar múltiples pronósticos en múltiples niveles de agrupación. Se hablará sobre la posibilidad de realizar pronósticos en diferentes niveles\, estrategias de conciliación como Bottom Up\, Topdown\, Índices Estacionales y Conciliación Personalizada. \nDaniel explicará las mejores prácticas cuando: \n\nSe tienen múltiples niveles de agrupación en la jerarquía de productos\nImplicaciones de pronósticos en los niveles más bajos o detallados\nSe realizan ajustes en múltiples niveles\nLos ajustes realizados crean conflictos con ajustes en distintos niveles\n\nEn esta sesión se utilizará Forecast Pro para demostrar cómo generar pronósticos de manera efectiva en múltiples niveles. \n¿No puedes asistir al seminario web en vivo? Regístrate para la sesión y te notificaremos cuando la grabación esté disponible para su reproducción. \nSpeaker:\n \nDaniel González forma parte de FBP Systems\, distribuidor autorizado de Forecast Pro. Desde 2017 ha colaborado con Business Forecast Systems\, creadores de Forecast Pro\, ofreciendo material educativo y documentación de apoyo de Forecast Pro para forecasters de habla hispana. Se especializó en Administración de la Cadena de Suministro en Humber College\, localizado en Canadá. Su experiencia en el entorno global le ha proporcionado conocimiento y herramientas útiles a través de una variedad de industrias. \n  \n¡Regístrate Ahora!
URL:https://www.forecastpro.com/event/seminario-web-gratuito-multiples-pronosticos-en-multiples-niveles/
LOCATION:Seminario Web en Línea
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230126T133000
DTEND;TZID=America/New_York:20230126T143000
DTSTAMP:20260410T081632
CREATED:20221118T183120Z
LAST-MODIFIED:20221212T233800Z
UID:10000064-1674739800-1674743400@www.forecastpro.com
SUMMARY:Free Webinar: How to Forecast Demand in Uncertain Times
DESCRIPTION:Click Here to Register Now!\nDescription:\nJust as the Covid-19 pandemic has disrupted all our lives\, it has also significantly impacted virtually all business planning processes. Even years after the onset of the pandemic there is still incredible uncertainty\, making business forecasting extremely challenging for demand planners. \nIn this free one-hour webinar\, James Berry will discuss common problems organizations are facing and offer some solutions to these problems. He will provide pragmatic insight into how to improve your forecasting as we continue to navigate the uncertainty introduced by the global pandemic. \nJames will discuss how to forecast when you’re facing: \n\nSupply chain disruptions\nStockouts and backorders\nLarge\, unexpected orders\nChanges in seasonality\n\nThis session will use Forecast Pro to demonstrate how to account for the impacts of Covid-19 in statistical models and how to efficiently integrate judgmental overrides in large-scale forecasting projects. \n  \nSpeaker:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \n  \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/how-to-forecast-demand-in-uncertain-times/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;TZID=America/New_York:20221027T133000
DTEND;TZID=America/New_York:20221027T143000
DTSTAMP:20260410T081632
CREATED:20221003T224507Z
LAST-MODIFIED:20221011T171403Z
UID:10000063-1666877400-1666881000@www.forecastpro.com
SUMMARY:Free Webinar: The Past and Future of Forecasting - Spyros Makridakis Keynote Presentation
DESCRIPTION:Click Here to Register Now!\nDescription:\nIt is said that\, “The future belongs to those who prepare for it today.” So\, what is on the horizon for the future of forecasting? \nSpyros Makridakis\, one of the world’s leading experts on forecasting\, shared his insights on the past and future of forecasting during his keynote at the Forecast Pro User Conference on September 19\, 2022. \nIf you missed the User Conference don’t worry – you can still catch his presentation. Join us for this free 75-minute webinar as we re-watch Spyros’ keynote! \nSpyros provides a brief history of the forecasting field\, highlighting the importance of the Makridakis competitions in guiding its progress\, and emphasizing the recent achievements of machine learning (ML) methods. In addition\, he discusses the future of forecasting\, and the challenges and changing role of the professional forecaster when ML methods become widely adopted. \nSpeaker:\nSpyros Makridakis is a Professor at the University of Nicosia\, where he is a director of its Institute For the Future (IFF) and the founder of the Makridakis Open Forecasting Center (MOFC). He has also been an Emeritus Professor at INSEAD since 1970. He has authored\, or co-authored\, twenty-seven books and special issues and more than 360 articles. His book Forecasting Methods for Management\, 5th ed. (Wiley) has been translated in twelve languages and sold more than 120\,000 copies while his book Forecasting: Methods and Applications\, 3rded. (Wiley) has received close to 6\,400 citations. Professor Makridakis was the founding editor-in-chief of the Journal of Forecasting and the International Journal of Forecasting and is the organizer of the renown M (Makridakis) competitions that for the last 40 years have fundamentally influenced the theory and practice of forecasting. His numerous papers and citations can be found in his Google scholar profile. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \n  \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-the-past-and-future-of-forecasting-spyros-makridakis/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20220919
DTEND;VALUE=DATE:20220922
DTSTAMP:20260410T081632
CREATED:20200617T172326Z
LAST-MODIFIED:20220926T224344Z
UID:10000037-1663545600-1663804799@www.forecastpro.com
SUMMARY:Forecast Pro User Conference
DESCRIPTION:Contents\n\nUser Conference Overview\nSchedule\nConference Hours\nAttendance Options\nVenue & Accommodations\nSpeakers\nFrequently Asked Questions\n\nUser Conference Overview\n\n\n\nThe Forecast Pro User Conference empowers you to get the most out of Forecast Pro by meeting with and learning from fellow users\, forecasting experts\, and the Forecast Pro team. This content-rich event is designed to help you to improve your forecasting by focusing on “real life” business scenarios and offering practical solutions that you can implement in your own organization. \n\nWe’ve purposely structured the conference to be an intimate event so that you can make valuable connections with other Forecast Pro users to share your knowledge and ideas. This is your opportunity to understand how other forecasters use the software\, to discover how they’ve solved problems similar to those that you face\, and to compare notes on forecasting practices. \n\nThe conference is jam-packed with a variety of session types—including Forecast Pro demonstrations\, hands-on workshops\, user case studies\, tutorials\, panels\, and networking events—all of which are designed to help you get the most out of Forecast Pro and strengthen your forecasting process. Forecasting thought leader Spyros Makridakis will be delivering the Keynote Presentation: The Past and Future of Forecasting. \n\n\n\n \n\nSchedule \n\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, September 19\n\nThe Evolution of Forecast Pro\nTales from the (Virtual) Road\nMoving Beyond Extrapolation: Improving Forecast Accuracy using Optional Inputs\nKeynote Presentation: The Past and Future of Forecasting\nUnleashing the Power of the Override Grid\nCase Study: Bell’s Brewery\nEvening Cocktail Party\n\n\nTuesday\, September 20\n\nDefining and Executing a Forecasting Process\nWhat is Machine Learning – and Will it Improve my Forecasts?\nImproving Forecast Pro Performance\nEffective Strategies for Forecasting New Products\nSimplifying Inventory Replenishment Using Forecast Pro\nHow do I…?\n\n\n\nWednesday\, September 21\n\nWorking with Others to Establish the Final Forecasts\nImplementations from Around the World\nForecasting in the Time of Covid\n\n\nDetailed Agenda\nMonday\, September 19\nThe Evolution of Forecast Pro\nEric Stellwagen: Eric kicks off the conference by explaining how Forecast Pro has changed over the years in response to clients’ expanding needs\, reviewing the new features introduced in the latest product releases\, and sharing his vision of how Forecast Pro will continue to evolve in the future. \nTales from the (Virtual) Road\nJames Berry: By working with scores of Forecast Pro clients— not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting systems James has earned a unique perspective on the practical challenges users face. In this session he will share his insights on common roadblocks and tips and techniques for getting around them. \nMoving Beyond Extrapolation: Improving Forecast Accuracy using Optional Inputs\nEric Stellwagen: Most new Forecast Pro users input the demand history for each item they wish to forecast and rely on expert selection to generate an automatic statistical forecast. While this is an excellent starting point\, you can often improve your forecasts using additional inputs. In this session Eric will explore the different types of inputs that Forecast Pro supports\, explain when they can add value and illustrate how they are applied. \nKeynote Presentation: The Past and Future of Forecasting\nSpyros Makridakis: Sypros will provide a brief history of the forecasting field\, highlighting the importance of the Makridakis competitions in guiding its progress\, and emphasizing the recent achievements of machine learning (ML) methods. In addition\, he will discuss the future of forecasting and the challenges and changing role of the professional forecaster when ML methods become widely adopted. \nUnleashing the Power of the Override Grid\nJames Berry: Over the past few years\, the Override Grid in Forecast Pro has evolved from a tool for entering forecast adjustments and comments—allowing you to collaborate with colleagues to establish the final forecasts—into a full-fledged customizable worksheet facility. Now that you can import external information\, define calculated rows and specify alternative baseline forecasts in the Override Grid\, you have the power and flexibility to create custom worksheets for planning and S&OP purposes. In this session\, James Berry will show you how to unleash the power of the Override Grid. \nClient Case Study: Bell’s Brewery\nBrendon Farrell\, Advanced Analytics Supervisor at Bell’s Brewery/New Belgium Brewing Company: In this presentation Brendon will discuss implementing Forecast Pro and how to manage a successful first year.  Brendon will give an overview of some of the challenges Bell’s Brewery faced in their implementation process\, as well as some of the benefits they have reaped from integrating Forecast Pro into their forecasting and S&OP processes \nEvening Cocktail Party\nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing after the first day of the conference. Connect with other attendees and enjoy a drink while overlooking the Boston Skyline and the Charles River. \n  \nTuesday\, September 20\nDefining and Executing a Forecasting Process\nJames Berry: James will review a framework to help your team create a roadmap for designing\, implementing and improving upon your forecasting process. With a focus on best practices\, he will address creating a forecast process\, setting up hierarchies and data effectively\, incorporating outside data\, collaborating with others to establish the final forecasts\, measuring and tracking forecast accuracy\, and gaining acceptance for the forecasts within the organization. \nWhat is Machine Learning – and Will it Improve my Forecasts?\nSarah Darin: Machine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition\, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. In this session\, Sarah Darin will discuss the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro. \nImproving Forecast Pro Performance\nAidan Goldman: Want to learn how to use Forecast Pro in the most effective and efficient ways possible? This presentation will provide guidance on best practices\, typical performance bottlenecks\, and how to avoid common pitfalls. Aidan will draw upon his extensive experience assisting users to help you understand common reasons that your Forecast Pro project may not be running as efficiently as it could be. You will walk away with some tips on how to maintain an efficient forecasting process as well as actionable changes to improve performance. \nEffective Strategies for Forecasting New Products\nEric Stellwagen: New product forecasting is challenging— when there is little to no historical data available you can no longer rely on methods you use for existing products. This session will survey various approaches for effectively forecasting new products. It will review pros and cons of forecasting methods for replacement products\, product line extensions\, new-to-company products and new-to-world products. \nSimplifying Inventory Replenishment Using Forecast Pro\nMarco Arias: In this interactive session\, Marco Arias Vargas\, Founding Partner of Macrologistica and seasoned supply chain educator\, will provide a step-by-step workshop walking you through how setting up a simple replenishment model. Marco will review how to improve resilience and performance in the supply chain based on replenishment models\, commonly used replenishment strategies and pitfalls\, how to implement replenishment models using Forecast Pro\, and keys for tailoring a replenishment strategy to meet the needs of your organization. \nHow Do I…?\nPanel: This session gives you the opportunity to get answers from a panel of Forecast Pro experts on any questions you may have about the software. \n  \nWednesday\, September 21\nWorking with Others to Establish the Final Forecasts\nJames Berry: Collaboration is an integral part of the forecasting process.  Gathering business intelligence from colleagues in Sales\, Marketing\, Finance\, Operations\, or Management can be crucial to generating an accurate forecast.  Now more than ever with supply chain issues\, capacity constraints\, and backorder situations you need to get feedback from those in your company who know what is occurring. Given that feedback can come from so many sources\, setting up a simple collaborative environment is critical to success — whether it is working in a small team with copies of a project to using Excel Collaboration with a large team.  In this session we will discuss the different strategies available in Forecast Pro.  And how to select the best method for your company. \nImplementations from Around the World: \nForecast Pro Distributor Panel: In this session three Forecast Pro international distributors will each describe a specific client’s implementation of Forecast Pro. You will learn about the different challenges each client faced integrating Forecast Pro into their existing forecasting process and hear about the benefits they received by doing so. \nForecasting in the Time of Covid\nJames Berry: Just as the Covid-19 pandemic has disrupted all our lives\, it has significantly impacted virtually all businesses in a variety of ways. This session will provide pragmatic insight into how to use Forecast Pro’s methods and techniques to create accurate forecasts during the global pandemic. This session will provide an overview of how Forecast Pro can be used to account for the impact of Covid-19 in statistical models and how to efficiently integrate judgmental overrides in large scale forecasting projects. \n\n  \n\n \n\n\n\nConference Hours\nMonday\, September 19: 9 am to 5:30 pm \nTuesday\, September 20: 9 am to 5 pm \nWednesday\, September 21: 9 am to 3:30 pm \nAll times are in USA Eastern Daylight Time (UTC/GMT -4 hours) \nContinental breakfast and lunch (including a vegetarian option) are provided daily for in-person attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing after the first day of the conference. \n\n  \n \n\n\nAttendance Options\nThe 2022 Forecast Pro User Conference will be a hybrid event\, offering you a choice between in-person attendance or online attendance via Zoom Events. \n\n\nIn-Person\nThe conference will take place in Cambridge\, MA USA on September 19-21\, 2022. The three-day conference includes live presentations\, the opportunity to connect with other Forecast Pro users\, and engage with speakers and the Forecast Pro team. \nContinental breakfast and lunch (including a vegetarian option) are provided daily. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing after the first day of the conference. \nOnline\nAs a remote attendee you will be able to watch all the live in-person presentations in real time\, submit questions for Q&A\, and network with other attendees in a chat-enabled lobby. \nYou will also have on-demand access to the presentation recordings after the fact. \nConference + Business Forecasting Workshop Bundle\nWe will be running our popular online Business Forecasting Workshop on September 7-9\, 2022 and are offering a bundle for User Conference attendees. You can add the workshop to your in-person or online User Conference registration for an additional $200.   \nFeel free to contact skhadr@forecastpro.com with any questions about this bundle. \n\n  \n\n \n\n\n\nVenue & Accommodations\n\n\n\nMIT Samberg Conference Center\nThe Forecast Pro User Conference 2022 will be held at the MIT Samberg Conference Center. Located on the MIT campus in Cambridge\, Massachusetts\, USA this state-of-the art conference facility features panoramic views of the Charles River and Boston skyline. \nAccommodations are available at the Residence Inn by Marriott Boston Cambridge located in Kendall Square\, a 10-minute walk from the conference center. A reduced room rate of $309/night — which includes a complimentary hot breakfast buffet — is available if you book your room by August 29\, 2022. Limited rooms are available so we encourage you to book your hotel room online now. You can also reserve a room by calling the hotel directly at +1.617.349.0700 and indicating that you are attending the Business Forecast Systems User Conference to obtain the discounted rate. \n\n \n\n\n\nSpeakers\n \nSpyros Makridakis\nis a Professor at the University of Nicosia\, where he is a director of its Institute For the Future (IFF) and the founder of the Makridakis Open Forecasting Center (MOFC). He has also been an Emeritus Professor at INSEAD since 1970. He has authored\, or co-authored\, twenty-seven books and special issues and more than 360 articles. His book Forecasting Methods for Management\, 5th ed. (Wiley) has been translated in twelve languages and sold more than 120\,000 copies while his book Forecasting: Methods and Applications\, 3rded. (Wiley) has received close to 6\,400 citations. Professor Makridakis was the founding editor-in-chief of the Journal of Forecasting and the International Journal of Forecasting and is the organizer of the renown M (Makridakis) competitions that for the last 40 years have fundamentally influenced the theory and practice of forecasting. His numerous papers and citations can be found in his Google scholar profile. \n\n \nEric Stellwagen\nis the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping leading organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. Eric served on the board of directors of the International Institute of Forecasters (IIF) for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \n\n \nSarah Darin\nhas more than 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer. Prior to joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions\, teaching customers how to efficiently integrate\, manage\, model\, and forecast large-scale datasets. Sarah provides valuable insight with her ability to understand and explain statistical concepts in the context of real-world\, messy data\, drawing upon her experience in working with clients across a wide range of industries. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n\n \nJames Berry\nhas worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting systems. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \n\n \nAidan Goldman\nis the Senior Technical Support Engineer at BFS. He’s had the opportunity to work with a wide range of Forecast Pro clients\, teaching them how to use Forecast Pro more effectively to overcome a variety of different challenges. Beyond helping to troubleshoot issues and answer questions about Forecast Pro\, Aidan also helps design new features for Forecast Pro. Constant communication with Forecast Pro users provides him insight into the types of features that would be most beneficial to include in upcoming versions of Forecast Pro\, which helps BFS ensure that the future of Forecast Pro is driven by client needs. \n\n \nBrendon Farrell\nis Advanced Analytics Supervisor at Bell’s Brewery/New Belgium Brewing Company. Brendon has over 9 years of experience in analytics\, ranging from loss/premium projections to demand planning to optimization modeling. He holds a Master’s of Science in Applied and Computational Mathematics from Western Michigan University. His work at Bell’s/New Belgium started with the implementation of statistical forecasting and automation\, and currently involves statistical and mathematical solutions to business problems spanning the entire enterprise. \n\n\n\n\n  \n \n\n  \nFrequently Asked Questions\n\n\nHow much does the Forecast Pro User Conference cost?\nLive Attendance: \nThe regular price for one live attendee is $1\,895. \nThere is an Early Bird Discount price of $1\,750 if you register by July 31\, 2022. \nA Team Discount price of $1\,595 per person is available when 3 or more colleagues from the same organization register at the same time. The Team Discount cannot be combined with other discounts. \nOnline Attendance:  \nThe regular price for one online attendee is $495. \nThere is an Early Bird Discount price of $450 if you register by July 31\, 2022. \nA Team Discount price of $395 per person is available when 3 or more colleagues from the same organization register at the same time. The Team Discount cannot be combined with other discounts. \nConference + Business Forecasting Workshop Bundle \nWe will be running our popular online Business Forecasting Workshop on September 7-9\, 2022 and are offering a bundle for User Conference attendees. \nYou can add a workshop to your live or online User Conference registration for an additional $200. \n\nCan I get a custom quote for my team?\nWe are happy to accommodate each team’s unique situation! If your team has special circumstances (ex. a combination of live and online attendance\, only add the workshop bundle for specific team members\, etc.) please contact skhadr@forecastpro.com for a custom quote. \nCan I transfer my registration?\nPersonnel substitutions may be made at any time. Please contact skhadr@forecastpro.com for help transferring your registration. \nWhat happens if I need to cancel my registration?\nLimited space is available\, so if you must cancel please let us know as soon as possible. Registrants may receive a full refund if cancellation is made by August 19\, 2022. If cancellation is made between August 19 and September 2\, 2022\, registrants may receive a refund of the registration fees paid minus a $195 service charge. Registrants who cancel after September 2\, 2021 or are “no-shows” are not entitled to receive a refund. \nPersonnel substitutions may be made at any time. Please contact skhadr@forecastpro.com for help transferring your registration. \nWhat should I wear?\nWe suggest business casual attire for the Conference. We recommend you dress as you feel comfortable and bring a jacket or sweater as the temperature in the Samberg Center may vary. \nThe average temperature in Cambridge\, MA USA late September ranges from 56°F to 72°F. Although it does rain throughout the year\, September is typically the month with the least rainfall. \nWhat are the event's protocols regarding Covid-19?\nThe Forecast Pro User Conference will be held at the MIT Samberg Conference Center. All attendees must comply with all MIT policies and procedures. For in-person attendance\, this means you must be fully vaccinated and boosted\, if eligible. All the event staff will be fully vaccinated. \nPlease be aware that these protocols are subject to change. \n\n\nIf the conference is cancelled\, Business Forecast Systems\, Inc.’s liability is limited to refunding the registration fees only. \n\n\n 
URL:https://www.forecastpro.com/event/user-conference/
LOCATION:Cambridge\, MA
CATEGORIES:Forecast Pro Event
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