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Summer 2018

New Foresight Guidebook: Forecast Accuracy Measurement, New and Revised edition

The newest Foresight guidebook, Forecast Accuracy Measurement: Pitfalls to Avoid and Practices to Adopt is designed to enhance your use of appropriate practices in forecast accuracy measurement, and to suggest alternatives that may provide new and better insights. Written by top forecasting practitioners, consultants and academics, this essential guide will verify your use of valid practices, will expose invalid measurement procedures, and will bring you up to date on best-practice techniques.

For more details and to purchase, click here.


      1. How Big Data Could Challenge Planning Processes across the Supply Chain by Tonya Boone, Ram Ganeshan, and Nada Sanders
        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.

      2. Outcome Prediction in the Practice of Law by Mark Osbeck and Michael Gilliland
        The practice of law requires decisions that must be based on predictions of future legal outcomes, and data scientists are now developing forecasting methods to support the process. In this article, Mark Osbeck and Mike Gilliland first examine the traditional tools lawyers employ along with the limitations that prevent these tools from consistently delivering accurate predictions. They then describe how new data-science approaches, including AI, are starting to alter the way law firms operate.

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Complete Issue, Special Feature, Special Feature 1, Special Feature 2, Article 1, Article 2, Article 3, Article 4, Article 5, Article 6, Article 7, Free Article, Free Article 1, Free Article 2, Free Article 3, Free Article 4