How to Manage Outliers in Demand Data Caused By Covid-19

Spring 2021

Journal of Business Forecasting Volume 40 | Issue 1 | Spring 2021

In this knowledge-packed issue, the lead article reveals how to manage Covid-related outliers in your demand data – a critical element in generating accurate forecasts as we emerge from the pandemic. Key techniques include pruning and smoothing, causal models, adjusting parameters, and manual qualitative overrides.

Other highlights of the issue include ingenious methods to win the favor of Sales to improve forecasting inputs, how to improve your OTIF metrics in light of Walmart’s strict new rules, using maturity model outputs for S&OP SWOT analysis, tips for starting a new planning role, and much more. We also remember the life and work of Tom Wallace, celebrated S&OP author and pioneer.

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