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Wilt u meer leren over forecasting technieken die bij kunnen dragen bij het verbeteren van uw bottom line, maar is het lastig om zowel tijd als geld vrij te maken? Om het u gemakkelijker te maken, kunt u op de hoogte blijven door onze webinars. Leer van de experts en bekijk onze gratis educatieve webinars.

De gratis webinars duren gemiddeld 60 minuten en voorzien u van diepgaande kennis over specifieke forecasting onderwerpen en dat allemaal vanachter uw bureau.

Bekijk hieronder de afgelopen webinars (toelichting van de webinars is in het Engels):

Effective Strategies for Forecasting a Product HierarchyEffective Strategies for 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. 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.


Embracing Forecast Uncertainty Confidence Limits Safety Stock and Order Quantities

Embracing Forecast Uncertainty: Confidence Limits, Safety Stock & Order Quantities

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.


How to Effectively Combine Judgment with Statistical ForecastsHow to Effectively Combine Judgment with Statistical Forecasts

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.

 


Understanding Your Data The Key to Better Forecasting

Understanding Your Data: The Key to Better Forecasting

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.


Addressing the Challenges of New Product ForecastingAddressing the Challenges of New Product Forecasting

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.

 


The Ins and Outs of Using Dynamic Regression

The Ins and Outs of Using Dynamic Regression

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.


 

Integrating Statistical Forecasts with Other Input to Create a Demand Plan for SOPIntegrating Statistical Forecasts with Other Input to Create a Demand Plan for S&OP

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.

 


Identifying Problems in Your Data and Forecasts

Identifying Problems in Your Data and Forecasts

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.


How to Improve Your Forecasts by Modeling the Impact of Promotions Business Interruptions and Events

How to Improve Your Forecasts by Modeling the Impact of Promotions, Business Interruptions and Events

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 Accuracy An Essential Step to Improve Your Forecasting Process

Tracking Accuracy: An Essential Step to Improve Your Forecasting Process

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.

 


 What Now How to Proceed When Automatic Forecasting Doesnt WorkWhat Now? How to Proceed When Automatic Forecasting Doesn't Work

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.

 


Tailoring Your Forecasting Methods to Improve Accuracy

Tailoring Your Forecasting Methods to Improve Accuracy

Dr. Nada Sanders of Lehigh University demonstrates how you can improve accuracy by applying different forecasting methods to different segments of your data.

 

 


A Roadmap for Improving Forecasting

A Roadmap for Improving Forecasting in Demand Planning and S&OP Processes

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.

 


Forecasting Weekly and Daily Data Practical Strategies for better results

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

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.

 


The 7 Habits of Highly Effective SOP

The 7 Habits of Highly Effective S&OP 

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."


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