Structuring Data for Value Added Analytics
Virtual Best Practices Conference: Business Planning, Forecasting & S&OP/ IBP
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 Schneider
Supply Chain Global Process Leader
Ball Corporation

Andrew Schneider is an award-winning Integrated Business Planning and Supply Chain Management professional. He is currently employed with Ball Corporation, the world’s largest sustainable & innovative beverage packaging company. He is also on the Board of Advisors for the Institute for Business Forecasting & Planning (IBF), a triple-fellow with the Association for Supply Chain Management (ASCM) , and a regular international speaker at industry events. Andrew is a hands-on data scientist & practitioner, while also an inspirational industry leader with a passion for innovating & advancing the fields of demand planning, S&OP, and enterprise risk management. He is an IBF Advanced Certified Professional Forecaster (ACPF).