Data Mining for Managers

1. Introduction
Richard Boire

2. Growth of Data Mining—An Historical Perspective
Richard Boire

3. Data Mining in the New Economy
Richard Boire

4. Using Data Mining for CRM Evaluation
Richard Boire

5. The Data Mining Process: Problem Identification
Richard Boire

6. The Data Mining Process: Creation of the Analytical File
Richard Boire

7. Data Mining Process: Creation of the Analytical File with External Data Sources
Richard Boire

8. Data Storage and Security
Richard Boire

9. Privacy Concerns Regarding the Use of Data
Richard Boire

10. Types and Quality of Data
Richard Boire

11. Segmentation
Richard Boire

12. Applying Data Mining Techniques
Richard Boire

13. Gains Charts
Richard Boire

14. Using RFM as One Targeting Option
Richard Boire

15. The Use of Multivariate Analysis Techniques
Richard Boire

16. Tracking and Measuring
Richard Boire

17. Implementation and Tracking
Richard Boire

18. Value-Based Segmentation and the Use of CHAID
Richard Boire

19. Black Box Analytics
Richard Boire

20. Digital Analytics: A Data Miner’s Perspective
Richard Boire

21. Organizational Considerations: People and Software
Richard Boire

22. Social Media Analytics
Richard Boire

23. Credit Cards and Risk
Richard Boire

24. Data Mining in Retail
Richard Boire

25. Business-to-Business Example
Richard Boire

26. Financial Institution Case Study
Richard Boire

27. Using Marketing Analytics in the Travel/Entertainment Industry
Richard Boire

28. Data Mining for Customer Loyalty: A Perspective
Richard Boire

29. Text Mining: The New Data Mining Frontier
Richard Boire

30. Analytics and Data Mining for Insurance Claim Risk
Richard Boire

31. Future Thoughts: The Big Data Discussion and the Key Roles in Analytics
Richard Boire

Nyckelord: Business and Management, Marketing, Market Research/Competitive Intelligence, Data Mining and Knowledge Discovery, Economics, general