Analytics in banking: Measure and manage customer profitability IBM Corporation

Transcription

1 Analytics in banking: Measure and manage customer profitability

2 Agenda Banking Industry Perspective IBM Customer Profitability Analytics Solution IBM Customer Profitability Analytics Demo Business Use Case Optimize Pricing

3 To keep up with the Empowered Customer, the Banking leaders of 2017 will have new imperatives 1 1 Movement to Mobile Context Sensitive, Situation Aware New Value Creation 2 2 Increasing Digital Engagement Capitalizing on Digital Economics and driving Consistent Experiences 3 3 Focus on the Customer Experience Maximizing Customer Value and Engagement, Informed by Analytics 4 4 Physical and Digital Integration Cross Channel Enablement and Exception Handling 5 5 Architecture Modernization Adoption of flexible, scalable, component based Architecture Rationale is understood Execution is complicated

4 Banking customers want a better experience and interaction Know me better Ask me Let me choose Advise me Trade with me Educate me Find me Compare me Protect me Alert me Excite me

5 The smarter bank: business requirements for success Optimize enterprise risk management Create a customerfocused enterprise Increase flexibility and streamline operations

6 IBM Business Analytics Banking Solutions Banking Solution Areas Customer Care & Insight Risk Management Operational Effectiveness Customer Profitability Campaign Insight and Optimization Relationship Pricing Client Servicing Social Media Analytic s Branch Performance Management Finance Integrated Risk Management (FIRM) - Liquidity Risk - Risk Scenario Analytics Credit Risk & Fraud Detection Operational Risk Regulatory Compliance Business Analytics IT Cost Transparency Branch Performance Management Banking Operations Exec Dashboard Client Servicing Business intelligence Predictive & advanced analytics Financial performance & strategy management Governance, risk & compliance Analytic applications Information Management Information integration and master data management data warehousing Content management Data management Workload Optimized Systems

7 The Problem If you can t effectively measure it you can t effectively manage it

8 Bank profitability management: Integrated view and challenges XYZ Bank Segment Sub-Segment Business Line Product Relationship/ Household Channel Customer Profit Center Account-Level Data Getting answers to the questions is a challenge due to: Disparate source systems Data inconsistency Absence of an enterprise level data source that could serve analytical requirements 8

9 How do we measure profitability? EVA: Concepts of shareholder s economic value added net income (similar to RAROC)

10 Integrated Multi: Dimensional views of profitability Customer Views Household Business Unit/ Geography Hierarchal Views Product Other Customer Account Non-Hierarchal Views January 6 th 2009 Industry Currency Account Officer Collateral Date Credit Status

11 IBM s customer profitability analytics Multi-dimensional Customer profitability solution providing a 360 degree view of the customer. Calculation of Profit & Loss statement at Customer account level Aggregation of account level information for key dimensions based on hierarchical rollups (Customer, Product, Geography, and LOB) Solution includes predictive analytics against historical customer information and leveraging customer attribute data Calculation Engine Reporting Predictive Analysis Calculate profit and loss at account level What if scenario analytics Profitability forecasting and planning Activity based costing Executive reports and dashboards for:» Retail &Commercial banks» Financial or marketing analysts KPI scorecards Multi-dimensional reporting Event management and alerting Mobile reports Customer segmentation Real-time decision management Lifetime value models

12 The Customer Profitability Solution components Credit & Customer Profitability Reporting (Cognos 10 Business Intelligence) Profitability Reporting and analysis Scorecards/Dashboards Event Management and Alerting Mobile device reporting Profitability Calculation Engine (TM1) Calculation engine at the customer/ account level (all P&L line items) What if Profitability scenario analytics Profitability forecasting & planning Predictive Analytics (SPSS) Customer segmentation Advanced analytics Real-time decision management

13 Solution DEMO 13

14 Question and answer??

15 Disclaimers The information contained in this presentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided as is, without warranty of any kind, express or implied. In addition, this information is based on ibm s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other documentation. Nothing contained in this presentation is intended to, or shall have the effect of: Creating any warranty or representation from ibm (or its affiliates or its or their suppliers and/or licensors); or Altering the terms and conditions of the applicable license agreement governing the use of IBM software.