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Structuring Data for Value Added Analytics
Virtual Best Practices Conference: Business Planning, Forecasting & S&OP/ IBP
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Structuring Data for Value Added Analytics

You will learn:

  • Use case for weighted versus unweighted metrics
  • When and how to use fixed hierarchies versus clustered hierarchies
  • How to use more than one attribute in your segmentation
  • Demand variability analyses for re-thinking forecastability
  • Using data and segmentation to manage the long tail of lower volume items
author
Andrew D. Schneider, ACPF
Head of Demand Planning & Analytics
Viega LLC

Andrew Schneider is a veteran supply chain and business science professional, with a 20 year career spanning journalism, sales, demand planning, analytics, emerging data sciences, strategy, and enterprise risk management. He is a thought leader for the IBF and a member of the esteemed advisory board, an ASCM award-winning fellow & certification holder, and an always-hungry learner of & contributor to the business planning field. He has vast experience across leadership & practitioner roles in CPG, Footwear & Apparel, Food & Beverage, and Medical Device sectors, along with systems implementation, COE deployment, and full supply chain transformation experience. Andrew is presently employed in a supply chain management role with Viega LLC, but also maintains his consultancy practice and is always available to network, consult, and serve. He is an IBF Advanced Certified Professional Forecaster (ACPF).