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.
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:
Many organizations require a consistent set of forecasts across product and/or geographical hierarchies, causing forecasters to grapple with a host of daunting issues. In this session, Eric Stellwagen explains the ins and outs of forecasting a product hierarchy, addressing issues such as whether your organization strive for “one-number” forecasts across departments and how to define the hierarchy to facilitate accurate forecasting. Using real-world examples, Eric compares and contrasts different strategies for forecasting a product hierarchy, emphasizing best practices.
Organizations create forecasts for specific reasons, such as determining what mix of products to manufacture, what raw materials to order, and what inventory level is required to meet customer service targets. Although a statistically-based forecast generates a “number,” that number alone doesn’t provide enough information for making a sound business decision—you also need a solid understanding of the uncertainty surrounding the forecast. And as business forecasters know, it is rare for a forecast to be 100% accurate.
These realities don’t mean that you have to settle for poor forecasts—to the contrary, understanding the uncertainty around a forecast is essential for using the forecast in a way that improves the decision making process. In this educational one-hour live Webinar, James Berry, Director of Training at Business Forecast Systems, will explain pragmatic approaches for dealing with forecast uncertainty.
In this one-hour Webinar Paul Goodwin, Professor Emeritus, University of Bath, presents a series of practical recommendations to ensure that you are making forecast adjustments for the right reasons and to show you how to avoid pitfalls.
Business forecasters rely heavily on time series methods which generate an item’s forecast based on its past demand history. Typically, these methods capture structure in the data—such as sales levels, trends, seasonal patterns, business cycles and responses to promotions—which is critical for creating the forecast.
It is difficult—if not impossible—to improve your forecasts without a solid understanding of the underlying components in your historical data. In this educational one-hour live Webinar, Eric Stellwagen, Vice President of Business Forecast Systems, will teach you how to recognize the different components in your demand history and explain which elements you can—and cannot—forecast effectively.
In this educational one-hour Webinar, Dr. Kenneth Kahn, Professor of Marketing and Director of the da Vinci Center at Virginia Commonwealth University reviews a variety of pragmatic approaches that you can use to forecast new products more accurately.
Do you want to build causal factors such as prices, promotions and economic indicators into your forecasts, but fear that building regression models is too complex and difficult? This session will demystify dynamic 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.
In this educational, one-hour Webinar, learn from acclaimed expert Colleen "Coco" Crum, Principal at Oliver Wight, who will show you how to obtain different views of demand and integrate them to create a proposed demand plan.
If your organization regularly forecasts thousands of items, you probably have experienced that sinking feeling of drowning in data. And no matter how large your forecasting group is, you simply don't have the resources to be able to conduct a thorough review of each and every item—particularly in today's economic environment.
Accepting these limitations doesn't mean that you have to settle for poor forecasts. In this educational one-hour Webinar, Eric Stellwagen, Vice President of Business Forecast Systems, will explain several pragmatic approaches you can incorporate into your forecasting process that enable you to identify problem areas quickly and systematically.
You can improve forecast accuracy by applying quantitative approaches that model events directly. In this educational one-hour Webinar, you will learn; how event models work, how and when event models should be used, how to build customized event variables to meet your business needs, and best practices for applying event models.
Tracking forecast accuracy is critical for improving your forecasting process—you need to measure and monitor performance to know what is working and what isn't. Watch this educational one-hour Webinar to learn how to track forecast accuracy and apply best practices that will make a difference in your own organization.
Does your organization rely heavily on automated extrapolation-based forecasting algorithms despite being dissatisfied with some of the results? Watch this educational one-hour Webinar to learn practical ways to improve your forecasts when the "one size fits all" approach of these automatic methods falls short.
Dr. Nada Sanders of Lehigh University demonstrates how you can improve accuracy by applying different forecasting methods to different segments of your data.
Forecasting is a critical part of Demand Planning and S&OP processes. Almost all organizations can improve their forecasting—often dramatically—by assessing current processes and implementing changes where they add value. In this Webinar, James Berry, Senior Consultant at Business Forecast Systems, reviews methods, best practices and processes that you can implement to improve forecasting in your organization.
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.
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.
S&OP is a process designed to bring together a variety of functions in an organization by creating a system which enables the management team to consider opportunities and constraints in the environment and to make concrete decisions about how to run the business. While many companies recognize the potential benefits of S&OP, they often struggle to implement the process with any level of effectiveness. In this one-hour Webinar, 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.
Professor Moon uses the framework established by Dr. Steven Covey in his popular book, The 7 Habits of Highly Effective People, to address the sticky problems associated with implementing an effective S&OP process. He shows that Covey's simple but powerful ideas provide insights about how to make the S&OP process more effective, illustrated with examples from his own work with nearly 40 companies. Dr. Moon first articulates his vision of S&OP—called Demand/Supply Integration—and then applies Covey's framework, "habit by habit."