SCM Expert Posts New Article — “10 History Cleansing Best Practices for Reliable Statistical Forecasting”

This article focuses on the best way to create baseline forecasts of product sales by performing product history cleansing, or cleansing the history of sales data. In order for SAP Advanced Planning & Optimization to create an accurate forecast of future sales, the product’s history must be cleansed of outliers such as shortages and promotions which cannot always be predicted like other forecasted trends.

Learn how best to cleanse a product history so that the most accurate baseline forecast can be created, as well as how to add future promotions into the forecast. Bob Croce, product director of SAPexperts comments, “Product forecasting, an extremely important function for a company, cannot be done accurately without knowing how to properly cleanse product history and develop accurate and reliable .”

The article is written by Rajesh Ray.
The article abstract is located at: http://www.scmexpertonline.com/network/login.cfm?id=6239

About the Author:
Rajesh Ray currently leads the SAP SCM product area at IBM Global Business Services (GBS). He has worked with leading corporations, such as Exide, Hindusthan Unilever, Toyota Kirloskar, SAP AG, and SAP India, prior to joining IBM. He is the author of two books on ERP and Retail Supply Chain published by McGraw-Hill, and has contributed to 38 leading international journals. Rajesh is a frequent speaker at different SCM forums and is an honorary member of the CII Logistics Council, APICS India chapter and the SCOR Society.

About SAPexperts:
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