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Research Reports
IBF Research Report #21
Turnover is always an issue, more so in demand forecasting and planning
as it requires a special skill set, making it difficult for companies to find
qualified candidates. Additionally, companies invest heavily in training
such professionals and so don’t want to lose them. There are a number...
IBF Research Report #20
The S&OP/IBP process stands on three crucial pillars: people, process, and technology. By understanding the components of each pillar, we can develop a most successful process. For that, we mined survey data gathered during a multi-year period by the Institute of Business Forecasting and Planning...
IBF Research Report #19
The Covid-19 pandemic was certainly an unusual phenomenon. Its impact was sudden and dramatic. It was not only local or regional but felt all over the world. Forecasting demand during this time was quite challenging because of unprecedented and rapid changes in consumer behavior. Consumer...
IBF Research Report #18
It is widely recognized that success in S&OP depends on people, process and technology. But what kind of people, process and technology do we need? To answer this question, we data mined the responses to an Institute of Business Forecasting and Planning (IBF) survey to ascribe a forecast error...
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Virtual Conference Recordings
July 20, 2022
Improve FP&A, financial forecasting and budgeting with S&OP/IBPw/ Business Forecasting...
Virtual Conference Recordings
November 18 – 19, 2021 (10 am to 2 pm CET)
(FREE REGISTRATION as a Special Courtesy to the Community)w/ Fundamentals of Demand Planning & Forecasting...
Virtual Conference Recordings
June 16 – 18, 2021
Improve FP&A, financial forecasting and budgeting with S&OP/IBPw/ Business Forecasting...
Virtual Conference Recordings
April 20 – 22, 2021
Demand Planning Conference With Data Science Workshop
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What is Croston’s Intermittent Model?
Designed to deal with sporadic demand (no seasonality) with a two-step process. The main goal is to provide a good safety stock, resulting in a situation where there is neither over or under stock. This is accomplished by considering two aspects of the data: the demand size and the…
Read on in the Glossary