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Business Intelligence & Analytics
Resolving the Commercial Banking Conundrum Transforming Your Data into Actionable Intelligence
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Transforming Your Data into Actionable Intelligence
Pragmatix — An Overview Transforming Your Data into Actionable Intelligence Sample Banking Data Accelerators Working Capital Insights Branch/RM/Client 360 Early Warning Risk SMB Account Planning & Sales Performance Pricing & Payments Workforce Mgmt. 30+ Global & Regional Banks 35+ Solutions Implemented Sample Clients 100+ Data Scientists covering 3 Regions across the globe Bankers Perspective Actionable Intelligence 16 + Preconfigured Data Accelerators Big Data & Machine Learning Providing the Fintech Leverage
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Impact of Technology Organizations 3
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Disruption from Every Direction
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Unbundling of Commercial Banking
Borrowing/ Financing 5
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The Commercial Banking Conundrum
Losing Market share with the advent of FinTech Use cases for new tech “Blockchain” Continuing Regulatory Oversight Priorities Business Case for making investments in Insights for consolidating & gaining market share is often difficult Insights that will provide targeted market segment information for different product categories Pricing strategy that will “deliver” profits based on competitive information and prudent risk assessment 6
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Internal Challenges Retail Banking gets all the “attention”
Hence they get a much bigger slice of the IT cake Availability of Information is a problem How do we devise and track campaigns How do we segment markets : Oil & Gas / Retail / SME / Supply Chain Financing? How do I empower Relationship Managers with actionable insights for decision making How do I assess product profitability / Relationship Manager effectiveness / market share 7
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External Challenges Each client identifies themselves as unique (market segment / product etc.) Demonstrating Subject Matter expertise to clients is crucial Leveraging Reliable External Data sources on a consistent basis Determining share of wallet is key to track effectiveness of insights being generated Insights to determine impact on portfolio with all changes in economic variables, regulations, political events 8
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Attributes of a Winning Bank in 2020
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2 1 3 4 Customer Centric Relationship Management (CCRM) Impact Metrics
Wallet Potential 3 4 Opportunities & Insights Scientific process for wallet evaluation & budgeting 360 Insights — prescriptive & actionable Driving performance through Pricing & Capital Efficiency Improving share of mind of client Key Relationship Challenges Revenue Maximization Portfolio Optimization Client Advisory Solutions Focused & Scientific approach to Client Management Impact Metrics Budgeting Improved Share of Mind, cross-sell and revenue metrics Customer Centric Relationship Management (CCRM) Better Portfolio Insights through segmentation & advanced analytics Transparent performance management & close alignment to business goals Optimization 360 View
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Pricing Optimization Analytics
2 1 Dispersion 3 4 Pricing Potential Combining billing, volume, asset/liability data for comprehensive view of pricing Methodology for identifying dispersion & inconsistency in pricing Measuring & Monitoring repricing action and results Key Challenges in Pricing Optimization Pricing Trends Repricing candidates Identifying negative response to pricing stimuli Negative price elasticity Positive price elasticity Segmentation Portfolio Insights for optimizing pricing & growing revenues Client Benefits Pricing Elasticity Actionable intelligence for RM — incremental $ revenues & share of wallet Pricing Optimization Analytics Clear framework to identify pricing efficiency/inefficiency Business Intelligence & Comprehensive reporting on pricing actions Impact of Re-pricing Recommendation
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Improving Profitability Through Pricing Analytics
DATA POINTS Billing Data Client Balances Client Attributes Transactional Information Client Wallet Potential Business Rule Parameters THE CHALLENGE : Global Bank for 80% of Fortune 500 Companies Unable to combine “billing” data from multiple disparate sources & generate actionable intelligence Understanding pricing trends and patterns Enabling price optimization for the Bank THE SOLUTION FRAMEWORK A scalable framework that extracts “billing” related information at the “atomic” level from multiple platforms and seamlessly integrates it for data analytics Transform extracted data by application of complex business logic and statistical tools to ascertain price dispersion; potential to reprice, behavioral patterns on account of past repricing, client segmentation, etc. Decompose revenue variations into price and volume and by various dimensions, and compare client specifics with industry, segment, and portfolio averages, and trends Parameterization to help address client level variations Effective use of visualization tools to share decipherable output with a geographically dispersed sales force ANALYTICAL FRAMEWORK Revenue & Pricing Deviation Comparative Pricing Analysis X Sell Analytics Identify Repricing Opportunities 12
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Improving Profitability Through Pricing Analytics
Impact Metrics Visualization & Output Data discovery via slice & dice of the database Alerts based on business rules, triggers Daily dashboards Milestone tracking Reporting Tier 1 client charge codes priced below portfolio mean. Repricing potential in $$$ Top 25 clients with repricing potential Impact of repricing i.e., volume impact post repricing implementation
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Appendix
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Create your own visualization
Vital Analytix — An Overview Transformation DATA SOURCES Structured Semi-Structured Unstructured Syndicated Data Business Scenarios VISUALIZATION BUSINESS USER Mobile & Desktop Apps Create your own visualization Business API Customized Alerts DATA SCIENTISTS CRM SAP Oracle EDW Others Smart Search
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Contact Us Pragmatix Services LLC
228 Hamilton Avenue Palo Alto, CA 94301 Anup Basrurkar anup. pragmatixservices.com
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