10 Biggest Causes of Data Management Overlooked by an Overload

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18 , $,, CEO President Claims Marketing Underwriting Actuarial Legal Management Information System Not a field of dreams ; build in iterations, based on business value Data Warehouse Product Data Customer Data Producer & Sales Data Premium & Loss Data Actuarial Data External Data Centralized Data Repository Single Version of the Truth Clean, Accurate Data Organized, Timely Availability Historical Detail Shared and Accessible Ad hoc Discovery & Analysis Flexibility Customer-centric Logical Data Model A

19 />*9 : >* STAGE 1 STAGE 2 STAGE 3 STAGE 4 STAGE 5 REPORTING ANALYZING PREDICTING OPERATIONALIZING ACTIVE WAREHOUSING WHAT happened? WHY did it happen? WHAT will happen? WHAT IS Happening? What do I WANT to happen? Primarily Batch and Pre-defined Queries Increase in Ad Hoc and Concurrent Queries Analytical Modeling Grows Continuous Update & Time Sensitive Queries Gain Importance Event Based Triggering Takes Hold Batch Ad Hoc/Concurrent Queries Analytics Continuous Update and Event-Based Short Tactical/Operational Queries Triggering

20 #*% 3 Transactional Decisioning Short, Update Transactions Complex Queries Batch Updates Complex, Strategic Queries Query Manager Short, Tactical Queries Trickle Updates Departmental, Operational Data Integrated, Strategic Decision Support Data All Decision-Making Data Integrated

21 $% 0== 1. Too many copies of the data Will they all be the same? 2. Too much latency Takes too long to get the data to the people who need it. Everyone sees different inconsistent points in time 3. Too complex Every line on the chart represents an ETL process that requires Life Cycle Maintenance 4. Too expensive There are numerous components that lead to increased costs. Costs often hidden in distributed organization.

22 $ 23 Data Analyst Database Admin Operations Manager Network Admin Applic. Developer IT Users Assemble Manage Answer Source Data (Internal and/or External) Data Transformation Enterprise Warehouse Replication & Propagation Dependent Data Mart Knowledge Discovery / Data Mining Information Access / Applications Single Version of the Truth Enterprise View Data Warehouse Middleware Metadata Logical Data Model Physical Data base Design Data Dictionaries Network Management Database Management Systems Management Business & Technology - Consultation & Education Services Support Infrastructure Business Users Power Analyst Knowledge Worker Executive/ Manager Customer Contact Application Server

23 ( B $& "C, "C % "+! 09$&,0 + ' %, Less chance for data error! Shifts time from obtaining data to analyzing data.

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36 % # <#> Key Business Processes Business Improvement Opportunities (BIOs) Distribution Management Channel Strategy Rationalization Channel Usage, Preference & Profitability Channel Management, Recruitment & Retention Sales Reporting & Performance Analysis Channel Communications Operations Management New Business Processing Utilization Analysis Claims Analysis Provider Network Management Customer Service Management Risk Management Reserves Analysis Product Development & Pricing Portfolio Analysis Fraud and Abuse Underwriting Risk Analysis Customer Management Customer Communication Strategy Cross-sell Up-sell Product and Customer Alignment Customer Retention Customer Acquisition Financial Management Profitability Analysis Expense Analysis Budget, Planning & Forecasting Mergers & Acquisitions Analysis Regulatory Compliance & reporting Data Management Enterprise Data Architecture (DMC) Data Quality & Stewardship Privacy and Data Security Business Continuance Accessibility and Performance 4

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39 "# ( ( KH,$,%2,KH$ &9$ +/FA$ $'*.G H!$ F <DD > H!$ F <'2(,+ >./0( 1 The FS-LDM accelerates DMC! Provides the Blueprint for how to consolidate the data.,4$ 9$.!

40 % Objective ) ) 3 3 )$2 )$2 % % = = %+ %+ J J ) ) Actions ( 0! % 0 0 " 0 Results 0 % % 3 2 Product Pricing & Development BIO Set / Refine Objective Perform Analysis Take Action Measure Results / ROI ROI Analysis (Business Questions) +0+ L +M N 0C L.2+20 % + 03L 2 % L L % L Data Sources: Policy and Application data Premium History 3rd Party Credit Scores Producer Data Claims Data Campaign Data Risk Group Data Billing and Payment Data + L L

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