The document discusses key performance indicators (KPIs) in retail banking and the need for business intelligence and data warehousing in the banking sector. Some important KPIs for retail banks include deposits held, number of depositors, withdrawals, loan defaults, and number of customers served. Business intelligence can help banks with risk management, improving operational efficiencies, customer segmentation, cross-selling products, reducing customer churn, and meeting regulatory requirements. Examples provided show how business intelligence helped banks like Bank of India and ICICI Bank boost profits and customer acquisition.

13. Fact table for all accounts

14. Multivalued Dimensions

15. Arbitrary Band value reporting

16. Point in time balance

17. Heterogeneous product : Specific line of business schema