Clementine数据挖掘.ppt

Increase Profits by Mining Your Data Increase Profits by Mining Your Data What we’ll cover over the next 30 minutes The challenge of understanding your customers Successful approaches for predicting customer behavior with data mining A demonstration of customer prediction using the Clementine data mining workbench The challenge of understanding your customers Challenges facing telcos Deregulation is driving up customer acquisition costs. Knowing your best customers keeps you profitable. Customer churn is rocketing beyond control in some industries. In the rush to acquire new customers, new credit risk is acquired as well. Successful data mining approaches Acquiring customers: keys to success Use test mailings. Treat each customer differently. Use more information about your customers. Maximizing profitable customers: keys to success Align customer segments with your products. Find affinities in purchase patterns. Harness the flexibility of the Web. Keeping customers longer: keys to success Find those that want to leave before it’s too late. Know your profitable customers. Spend your retention budget wisely. Minimizing risk and fraud: keys to success Know normal behavior. Identify different or new types of behavior. Identify and repeat best practices. The key to getting the most from your results: deploy Presenting the results of data mining - knowledge - to those setting business strategy Deliver the results of data mining - models - to wherever decisions need to be made Applying an approach with Clementine Questions?  Some things to consider: What issues are you facing that you think data mining can help you solve? Are the issues that we brought up important in your organization? What else do you need to know to progress on your data mining journey? Thank you! SPSS analytical solutions can also increase profits by enabling the organization to sell more products and services to existing customers – and to do so more efficiently. Attract Cust