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.
Introducing Forecast Pro TRAC v7! In this one-hour webinar, Erik Subatis and Sarah Darin will provide an overview of four new functionalities in Version 7: Machine Learning, Product Mapping, Forecast Value Add Reporting, Excel Collaboration Enhancements.
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 webinar, Sarah Darin overviews the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro.
Si deseas mejorar tu proceso de pronósticos, es fundamental realizar un seguimiento de la precisión de los pronósticos generados. Con sólo medir y monitorear el desempeño, tu equipo puede evaluar qué tan bien están haciendo las cosas, comprender qué funciona y qué no, e identificar dónde se puede mejorar el proceso de pronósticos. En esta sesión, Armando González, director de FBP Systems, explica cómo realizar un seguimiento de la precisión del pronóstico y aplicar las mejores prácticas que marcarán la diferencia en su propia organización. Este seminario web está siendo presentado por FBP Systems, en colaboración con Business Forecast Systems, para apoyar a la comunidad de pronósticos de habla hispana.
This 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.
This 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. This session accommodates time zones in the Asia Pacific Region.
New product forecasting is challenging—you can no longer rely on methods you use for existing products when there is little to no historical data available. In this one-hour webinar, Eric Stellwagen and Sarah Darin will survey various approaches for effectively forecasting new products. They will review pros and cons of forecasting methods for replacement products, product line extensions, new-to-company products and new-to-world products.
No es de extrañar que muchos forecasters prefieran los modelos de suavización exponencial: son fáciles de aplicar, generan pronósticos precisos y pueden automatizarse. Acompáñanos en este seminario web online gratuito para aprender sobre las ventajas y desventajas de estos métodos de pronósticos populares y aprende cómo mejorar tus pronósticos utilizando modelos de suavización exponencial.
This 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.
In this live one-hour educational webinar, Eric Stellwagen and Sarah Darin will discuss strategies for forecasting weekly and daily data, and some issues that may come up when working with this data. Through real-life case studies, you will learn practical approaches for defining the calendar, accommodating Week 53, correcting for the number working days, tracking holidays, forecasting multiple cycles (e.g., day of week and week of year), and converting between different periodicities.
