About this document
Customer Data Integration for Sales Forecasting by HEM BANSAL is a document available to read on EtoBox.
Sales forecasts are important for many areas of a company. Developing a customer knowledge competence through customer data integration can help create more accurate sales forecasts. Effective sales forecasting requires gathering and analyzing customer data from salespeople and other sources. Companies use various forecasting techniques including time series analysis, correlational analysis using leading indicators, response modeling considering marketing factors, and judgmental methods like executive opini
- Author
- HEM BANSAL
- Language
- EN