Index

A

  1. absolute percentage error (APE)
  2. accountability, for unconstrained demand forecast
  3. accurate demand forecasts
  4. actionable information, versus data
  5. adoption
  6. aggregation, of data
  7. Amazon
  8. analytical outputs
  9. analytics
    1. about
    2. anticipatory
    3. applying to downstream data
    4. case study
    5. consumption-based modeling
    6. current state
    7. demand planning
    8. future state
    9. gaps and interdependencies
    10. predictability
    11. segmentation of products
    12. statistical models
    13. strategic roadmap
  10. analytics methods
  11. analytics technology
  12. anticipatory analytics
  13. APE (absolute percentage error)
  14. ARIMA (autoregressive integrated moving average)
  15. ARIMAX (autoregressive integrated moving average with causal variables)
  16. automated consumer engagement
  17. automation
  18. autoregressive integrated moving average (ARIMA)
  19. autoregressive integrated moving average with causal variables (ARIMAX)
  20. average forecast accuracy

B

  1. barriers, to adopting downstream data
  2. baseline history
  3. benefits
  4. big data
    1. See also data
    2. See also downstream data
    3. about
    4. actionable information versus data
    5. case study
    6. cleansing demand history
    7. consumer/customer orientation
    8. demand management data challenges
    9. demand signal analytics (DSA)
    10. demand-signal repositories (DSRs)
    11. downstream data
    12. eliminating information silos
    13. growth of
    14. how much to use
    15. sales & operations planning (S&OP)
    16. structured process supported by technology
    17. technology
    18. as a trend impacting supply chain
  5. bullwhip effect
  6. business priorities, core
  7. The Business Forecasting Deal: Exposing Myths, Eliminating Bad Practices, Providing ...

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