This document proposes a banking performance management suite (BPMS) to help banks address business challenges from new regulations, competition, and changing customer loyalty. The BPMS would provide a holistic approach to manage financial, operational, and customer performance using a modular big data solution. It would deliver business insights through components like an advanced graphical interface, data modeling, reporting, and security. Customers could use the BPMS for insights like financial analysis, transaction analysis, branch benchmarking, and monitoring key performance indicators. The suite is based on Qlik's in-memory analytics technology and aims to provide a single version of truth across business areas.

1. Banking Performance Management Suite
Big Data & Performance Management

2. Big Data
&
Performance Management

3. Big Data &
Performance Management:
• What is your Plan?

4. Banking Challenges:
CHALLENGES
Risk-adjusted
capital requirement rules
New regulatory
environment
Margins
have narrowed
Competition
among banks
Changing
banking products
Customers are
less loyal

5. Proposal for Banking
These business challenges have converged to further elevate the challenge for
banks to manage Performance along several dimensions:
• Financially,
• Operationally,
• Customer perspective

6. Based on a
banking
business
Information
Model
Provides a
holistic
approach
One Version of Truth
for:
- CEO, CFO, Treasury,
HR
- Business Analysts
- Branch Network
One Version of Truth

7. Modular approach focused on “start small think big”1
Tangible deliverables to select2
Proven Information Model3
State of the art GUI4
Drives business insights5
ADVANTAGES OF BPMS:
Advantages

8. COMPONENTS
Admin Control
Graphical Interface
Advanced ETL
Parallel Execution
Managed Deployment
Cluster Architecture
Basic Components

9. Associative Structure1
Areas of Analysis2
KPIs3
Standard Reporting – Collaboration4
Sophisticated Security Schemes5
Technology

10. Traditional BI QlikView
• Limited view and access to data
• Forced down linear drill paths
• Need to involve IT to modify
• What-if and on-the-fly analysis
is limited
• Freedom to explore data from any point in
analysis in a dynamic, interactive interface
• Answer any question on the fly, real-time
• Easily see connections, and
disconnects in data
The unique Qlik patented
data association in-memory technology

11. • Holds data in memory for a super-fast user
experience
• Compresses data to 10% of original size
• Optimizes data structures and the power of
the processor to perform calculations
• Maintains associations in the data
automatically
• Calculates aggregations on the fly as
needed
Natural Analytics™
– The Core of Qlik®

12. Qlik visualizes data so people can use it…
• Anytime, Anywhere
• Total freedom from the desktop
• Any business user can create a QlikView
application
• Mash them up into complementary apps
like Google Maps or SharePoint

13. Customer Insights1
Financial Analysis2
Transactional Analysis3
Branches Benchmarking4
Monitoring KPIs (Cross-Sell, Branch Profitability)5
What do Customers use
BPMS for?
Reporting6
Solution Areas

14. FINANCIAL &
PROFITABILITY ANALYSIS
 PORTFOLIO ANALYSIS
o Deposits
o Loans
o Investments
 INSURANCE ANALYSIS
 LIQUIDITY ANALYSIS
 FUNDS MATURITY ANALYSIS
 PRODUCT PROFITABILITY
 Restructures Analysis
 Insurance Contracts
 Interest Rate Analysis
 Branch Contributions
 What-if Analysis

15. CUSTOMER INSIGHT
 CUSTOMER ATTRITION ANALYSIS
 CUSTOMER BEHAVIOR
 CUSTOMER DELINQUENCY ANALYSIS
 CUSTOMER INVESTMENT PROFILE- MIFID
 CUSTOMER PROFITABILITY
 Customer Attrition Analysis
 Segmentation Analysis
 Campaign Analysis
 Customer Investment Profile
 Organization Unit Profitability
 INDIVIDUAL CUSTOMER PROFILE
 Customer Relationships Analysis
 Demographic Analysis
 CROSS SELL – UP SELL ANALYSIS
 PREPARE YOUR MARKETING CAMPAIGNS

16. TRANSACTIONAL ANALYSIS
 CUSTOMER LOYALTY
 Transaction Analysis
o Type
o Channel
o Instrument
 Customer Interaction Analysis
 BRANCH NETWORK PLANNING
 Response Times
 ORGANIZATION UNIT
PROFITABILITY
 Transaction Type Analysis
 CHANNEL EFFICIENCY
 Trend Analysis
 Cash Flow Analysis
 Transaction History
 Liquidity Analysis
 What-if Analysis

17. Time to value
6 Months

18. Demo Applications

19. Executive Dashboard

20. Expense Management

21. Asset Management

22. Helpdesk Management

23. Sales Dashboard

24. Product Analysis

25. Customer Targeting

26. Total Bank Monitoring

27. Total View

28. Time Analysis

29. Demographical Analysis

30. Customer Delinquency Analysis

31. Customers monitoring

32. Balance Analysis

33. Customer Transaction Analysis

34. Customer Attrition Analysis

35. Organization Unit Analysis or Branch Monitoring

36. Non Payable Loans Analysis - NPL

37. Product Profitability Analysis

38. THANK YOU