This document discusses how business intelligence (BI) can help banking and financial institutions achieve various objectives like increasing customer base, operational efficiency, and customer satisfaction. It provides examples of how BI can be used for loan performance analysis based on factors like geography, demography, industry, and financial details. Key performance indicators discussed for banking include interest margin, non-performing assets, and return on assets. The document also discusses how BI can help insurance companies by providing snapshots of policy transactions, premiums, and claims over time. This allows analysis of factors like number of policies sold and renewed, lapses, and time taken to process claims.

1. Business Intelligence In Banking and Finance Team Predators Puneet Gupta VarunBajpai 09BM8037 09BM8059

2. What is BI?

3. Why BI?

4. Why BI?

5. Why BI?

6. BI for Banking Institutions - Objectives

7. Achieving Objectives Increase Customer Base Analysis by Geographical Area Industry By Category By Revenue By Profitability Demography

8. Achieving Objectives Increase Operational Efficiency Productivity Analysis No of transactions – Target Vs Actual Inter-departmental delay analysis Time Spent Vs Profitability Analysis Increase Customer Satisfaction Suggest alternate investment plans based on past allocation and performance

9. Achieving Objectives Adherence to Guidelines Locating Deviations Tracking money trails

11. geographical area

12. demographic segments

13. industry type, company turnover, profitability, age of company

14. amount of loan, period of loan, interest rate

15. occupation, duration of occupation, designation

16. salary range

17. educational qualifications, marital status

19. KPIs for Banking Sector Interest Perspective Profit margin Operating margin Interest margin Company assets Perspective Non-performing assets Reserve requirement Return on average assets Risk Perspective Value at risk Capital adequacy ratio

20. Monthly Account Snapshot Fact

21. Dealing With Multivalve Dimension

22. Some touch points Identification and Retention of most valued accounts Accounts can be differentiated based on primary balances and analyzed on that criteria Understanding ever dynamic customer behavior based on different parameters It may be relevant for the bank to capture and store behavior scores relating to the activity or characteristics of each account and household Snapshot of historical monthly data may be used for defining future products

23. Insurance Sector Core Processes:- Issue/Renew Policies Collect Premium Payments Process Claims

24. KPIs for Insurance Sector Policy Transaction Fact Number of Policy Sale Value of policies sold Number of policies renewed compared to number of policies sold Number of policies sold as compared to quota

25. KPIs for Insurance Sector Policy Premium Snapshot Fact Number of missed premiums or lapses compared to total number of policies sold Percentage of policies that lapse within the first two years

26. KPIs for Insurance Sector Claims Transaction Fact Total benefits paid as a percentage of premium Frequency of claims Time taken to process a claim

27. Thank You