| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 1.1MB PDF | Date added | 01 Oct 2007 |
| Topics | Data Mining - Analysis, Business Intelligence - Data Warehousing, Spreadsheets | ||
| Downloads | 21 | ||
According to major surveys of organizational forecasting practices, there is continued widespread use of spreadsheets for forecasting, despite major advances during the last 20 years in the availability, performance, and ease of use of business forecasting software. And, forecasting is not just for supply and demand planning anymore. Elements of forecasting are incorporated into a broad range of business problems covering every industry. Automotive manufacturers and consumer product companies care about warranty claims and returns. Phone companies and credit card issuers care about the churn of their customer base. Lenders care about risk and bad debt provisioning. Airlines care about reservation center and flight crew staffing. Manufacturers care about predictive maintenance in their factories.
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