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.
Featured Articles:
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How to Manage Outliers in Demand Data Caused By Covid-19
By Eric Wilson
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Why Is Your S&OP/IBP Process Not Resulting in Best Practice Outcomes?
By Ramandeep Singh Manaise, CPF
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Cloud-Native Solutions are Changing the Future of Supply Chain Management
By Charles W. Chase, Jr., CPF
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Using Maturity Model Outputs For S&OP SWOT Analysis
By Bob Lecinski
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Improving OTIF Metrics with Supply Chain & S&OP Best Practices
By Patrick Bower
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Lessons Learned in Omnichannel From the Covid-19 Winners & Losers
By Larry Lapide
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Keys to Success in a New Demand Planning Role
By By Jennifer Darmanin, CPF
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Practical Methods To Earn The Trust Of Sales & Improve Forecasting Inputs
By Jim Ackerman
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Regional Contributions to Global Growth Realign as We Emerge from The Pandemic
By Evangelos Otto Simos,Ph.D.
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U.S. Economy Roars Back Faster And Stronger Than Expected, Economic Divide Widens
By Jamal Nahavandi