Webinars

Next live Webinar July 19, 2012 1:30 PM EDT:
A Roadmap for Improving Forecasting in Demand Planning and S&OP Processes

Do you want to learn about forecasting techniques and best practices that can improve your bottom line, but are pressed to find the time and budget to fit educational events into your schedule? To make it easier for you to stay informed, we invite you to learn from the experts via our free educational Webinars.

Free live Webinars
This ongoing series of 60-minute sessions provides you with in-depth knowledge on specific forecasting topics delivered right to your desk. When you attend a live Webinar, you can participate in polls on key forecasting issues and submit questions directly to the presenter.

On-demand Webinars
All of our previously presented Webinars have been recorded so that you can view these sessions at your own convenience at no charge. The following archived sessions are available to you free of charge on demand:

		Forecasting Weekly and Daily Data: Practical Strategies for Better Results Creating accurate weekly or daily forecasts is much harder than generating accurate monthly forecasts, but if this is what your business requires, there is no need to fret! There are a number of helpful approaches you can use to improve your forecasts. In this educational one-hour live Webinar, Eric Stellwagen addresses several issues that arise when working with weekly and daily data.
		How to get Good Forecasts from Bad Data Business forecasters are expected to create accurate forecasts regardless of the quality of the inputs and, unfortunately, most have no choice but to work with less-than-perfect data. In this educational session, Ellen Bonnell, CEO of Trends Savants, shares seven guiding principles for getting good forecasts from bad data.
		Identifying Problems in Your Data and Forecasts Although most business forecasters would welcome the chance to review each item every forecasting cycle, with limited resources this is simply not possible. James Berry, Senior Consultant, explains pragmatic approaches for identifying problem area quickly and systematically—both in the history and forecasts.
		The 7 Habits of Highly Effective S&OP S&OP is a process designed to bring together a variety of functions in an organization. While many companies recognize the potential benefits of S&OP, they often struggle to implement the process with any level of effectiveness. Dr. Mark Moon, Director of the Forecasting & Demand Management Forum at the University of Tennessee, explores ways to make S&OP implementations more effective—the key to success.
		Exponential Smoothing Demystified It’s no surprise that exponential smoothing is the method of choice for many corporate forecasters—the technique creates accurate forecasts, is easy to apply, and can be automated. In this educational one-hour live Webinar, Eric Stellwagen, Vice President of Business Forecast Systems reviews the ins and outs of this popular forecasting method.
		How to Improve Your Forecasts by Modeling Events In this educational one-hour Webinar, Eric Stellwagen explains what events models are, demonstrates—using real world examples—that building the models is straightforward and shows that the payoff for implementing these models is significantly improved forecast accuracy.
		Considerations for Effectively Forecasting a Product Hierarchy Many organizations require a consistent set of forecasts across product and/or geographical hierarchies, causing forecasters to grapple with a host of daunting issues. This session compares and contrasts different forecasting strategies for addressing these challenges, emphasizing best practices.
		Tracking Accuracy: A Crucial Key to Improve Your Forecasts In this educational one-hour Webinar, Eric Stellwagen shares his insight on tracking forecast accuracy illustrated with real-world examples which show how to avoid common pitfalls.
		Approaches to Forecasting New Products Forecasting new products is a challenge-with little or no historical data, the trusted methods that work well for existing products often produce inaccurate forecasts for new products. In this Webinar, we survey various pragmatic approaches for forecasting new products more accurately.
		What You Need to Know to Use Dynamic Regression Models for Forecasting This session demystifies regression modeling, demonstrating how these models can provide insight into your data and revealing why they often yield more accurate results than alternative forecasting methods.