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How Big Data Could Challenge Planning Processes across the Supply Chain

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  • TonyaBoone
  • Ram Ganeshan
  • Nada Sanders

Abstract

The authors discuss the potential of big data to improve forecasting through better understanding of consumer behavior, upgraded demand-forecasting models, and more efficient supply-chain execution. They also document the major challenges posed for Sales and Operations Planning and propose how these can be anticipated and met head on. Copyright International Institute of Forecasters, 2018

Suggested Citation

  • TonyaBoone & Ram Ganeshan & Nada Sanders, 2018. "How Big Data Could Challenge Planning Processes across the Supply Chain," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 50, pages 19-24, Summer.
    • Handle: RePEc:for:ijafaa:y:2018:i:50:p:19-24
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    Cited by:

    1. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.

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