Completing the Demand Planning Cycle with Data Science

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Presented by

Dan Roozemond (EyeOn), Martin Daudey (EyeOn)

About this talk

The steps for a typical demand planning cycle are: review & correct historical data, statistical base line forecast, enrichment by marketing/sales, consolidate and consensus meeting, validate results & improve. Learn in this session how data science can help you completing the cycle in shorter intervals and with higher quality by integrating a data science platform into the planning cycle. Speakers: - Dan Roozemond, Data Science Team Lead at EyeOn - Martin Daudey, Sr. Business and Solutions Consultant at EyeOn Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner EyeOn. They may contact you with information that could be of interest to you.
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