Information Management Solutions<br />Discussion Document<br />
Agenda<br />Review Meeting Objectives<br />Agile Projects<br />Information Management Practice <br />Data Warehousing<br /...
Information Management<br />Agile Projects March 2010<br />
Who we are …<br />Agile Technologies is a nimble, aggressive, consulting firm focused on improving our clients’ businesses...
Mergers, Acquisitions, Affiliations and New Players<br />Margin Pressure<br />Global Marketplace<br />Changing Regulatory ...
Technology Solutions Making a Bottom Line Impact<br />Improve Process Efficiency<br />Reduce time to market into Custom De...
Agile Technologies’ Value PropositionIn Action<br />Industry Knowledge – Our teams consist of industry professionals that ...
An Engagement ApproachTo Maximize Your Results<br />DEFINE<br />Current<br />Environment<br />DEFINENewEnvironment<br />BU...
Establish As-Is
Identify areas of strengths and improvement
Ask Why? Gain buy-in
Analyze key differentiators
Business strategy
Operating objectives
Develop picture of To Be environment
Link technology with business priorities and aggressive improvement processes
Evaluate gap
Current condition of systems and information
Vision of where the business requires technology
Lay out the road map to realize the benefits of the technology investment
Maximize profit impact
Maximize growth impact
Turn the Vision into reality
Successful project management
Continuous advancement
Aggressively manage the realization of the value proposition
Manage reliability and  availability
Reduce operating costs
Lessons Learned
Cross-Implement</li></li></ul><li>Insurance Value Chain Fully Served<br />Risk<br />Distribution<br />Indemnification<br /...
ManagingSuccessful Outcomes<br />CUSTOM DEVELOPMENT<br /><ul><li>Portals
Web Development
Application Integration
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Capabilities Overview 20100414 V1


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Capabilities Overview 20100414 V1

  1. 1. Information Management Solutions<br />Discussion Document<br />
  2. 2. Agenda<br />Review Meeting Objectives<br />Agile Projects<br />Information Management Practice <br />Data Warehousing<br />Business Intelligence<br />Data Integration<br />Advanced Analytics<br />Data Governance<br />Next Steps<br />
  3. 3. Information Management<br />Agile Projects March 2010<br />
  4. 4. Who we are …<br />Agile Technologies is a nimble, aggressive, consulting firm focused on improving our clients’ businesses by bringing together deep insurance industry experience, the flexibility to build partnership-based engagement teams and technology expertise. <br />Since our founding early in 1997 we believe a critical success factor to achieving breakthrough bottom line results for our clients is understanding their businesses and the difference they are going to make in their markets. We know successful technology investments help them achieve those goals.<br />Our firm’s commitment to client success is demonstrated by our seasoned professionals’ industry experience, knowledge of the technology landscape in the insurance industry and long history of successful projects. <br />We are committed to helping our clients stay at the forefront of rapid industry changes by helping them develop new markets and creating new efficiencies and capabilities for their organizations.<br />Our Mission is to build long-term, durable relationships with our clients that continually deliver improved business results from their investments in technology, business processes and communications.<br />
  5. 5. Mergers, Acquisitions, Affiliations and New Players<br />Margin Pressure<br />Global Marketplace<br />Changing Regulatory and Compliance Environment <br />New Products and Services <br />Customer Needs Clear Answers and Partners They Know <br />Broker/Wholesaler/Agency Support, Compensation, Licensing & Education<br />Business Dynamics Creating Opportunities to Differentiate<br />
  6. 6. Technology Solutions Making a Bottom Line Impact<br />Improve Process Efficiency<br />Reduce time to market into Custom Development Efforts<br />Reduce Risks (Implementation and Changes)<br />Increase Management Controls<br />Accelerate Program Introduction, Training and Support<br />Improve Customer Satisfaction (Quality time with clients)<br />Drive Technology ROI (Software and Hardware)<br />Enhance Systems Flexibility and Reporting<br />
  7. 7. Agile Technologies’ Value PropositionIn Action<br />Industry Knowledge – Our teams consist of industry professionals that understand, have managed and improved all elements of property & casualty insurance businesses. <br />Experienced Professionals – The mix of professionals that service our insurance clients have decades of experience in both the insurance business and the specific technologies used by our clients.<br />Outcome Focused Project Teams – Our standard engagement approach establishes focused objectives at the outset of each effort and project . This is a critical component in our project methodology and will drive the teams toward the critical project objectives. <br />Hands-on Executive Leadership – The entire executive team has extensive experience in insurance and is involved in every engagement.<br />Demonstrated Flexibility in Approach – Our approach positions our clients for success using blended teams.<br />
  8. 8. An Engagement ApproachTo Maximize Your Results<br />DEFINE<br />Current<br />Environment<br />DEFINENewEnvironment<br />BUILDRoadmapTo Get There<br />BUILDNew Environment<br />LEVERAGENewEnvironment<br />GAP ANALYSIS<br />ASSESSMENT<br />BENEFITS <br />REALIZATION<br />IMPLEMENTATION<br />VISIONING<br /><ul><li>Validate and understand objectives
  9. 9. Establish As-Is
  10. 10. Identify areas of strengths and improvement
  11. 11. Ask Why? Gain buy-in
  12. 12. Analyze key differentiators
  13. 13. Business strategy
  14. 14. Operating objectives
  15. 15. Develop picture of To Be environment
  16. 16. Link technology with business priorities and aggressive improvement processes
  17. 17. Evaluate gap
  18. 18. Current condition of systems and information
  19. 19. Vision of where the business requires technology
  20. 20. Lay out the road map to realize the benefits of the technology investment
  21. 21. Maximize profit impact
  22. 22. Maximize growth impact
  23. 23. Turn the Vision into reality
  24. 24. Successful project management
  25. 25. Communication
  26. 26. Control
  27. 27. Transformation
  28. 28. Organization
  29. 29. People
  30. 30. Installation
  31. 31. Continuous advancement
  32. 32. Aggressively manage the realization of the value proposition
  33. 33. Manage reliability and availability
  34. 34. Reduce operating costs
  35. 35. Lessons Learned
  36. 36. Cross-Implement</li></li></ul><li>Insurance Value Chain Fully Served<br />Risk<br />Distribution<br />Indemnification<br />Increase Surplus/ <br />Reduce Exposure<br />Insurance<br />Carriers<br />RRGs<br />Self Insureds<br />Reinsurers<br />Captives<br />Bonds<br />Syndicate<br />Agents <br />Producers<br />Brokers<br />Direct<br />Insureds<br />Business Acquisition<br />Policy<br />Claims<br /> Cash and Disbursements<br /> Finance, Actuarial and Support<br />Our firm has served every aspect of the insurance value chain<br />We have served every functional area in the insurance business life cycle<br />We have a history of success in providing innovative technical solutions for complex business process challenges<br />
  37. 37. ManagingSuccessful Outcomes<br />CUSTOM DEVELOPMENT<br /><ul><li>Portals
  38. 38. Web Development
  39. 39. Application Integration
  40. 40. System Consolidation
  41. 41. Offshore Development</li></ul>PROCESSING SYSTEMS IMPLEMENTATION<br /><ul><li>Mergers & Processing Systems Implementation
  42. 42. Acquisition Planning
  43. 43. Technology Planning
  44. 44. Policy, Claims, Reinsurance
  45. 45. Actuarial
  46. 46. CAT Management
  47. 47. CRM
  48. 48. Financial</li></ul>BROKERAGE & AGENCY SYSTEMS<br /><ul><li>Broker / Carrier Integration
  49. 49. CRM
  50. 50. Account Aggregation
  51. 51. Plan Administration Systems
  52. 52. Benefits Communications</li></ul>INFORMATION DELIVERY<br /><ul><li>Data Warehousing
  53. 53. OLAP Implementation
  54. 54. Database Conversion
  55. 55. Data Consolidation & Scrubbing</li></li></ul><li>Information Management<br />Solution Overview <br />
  56. 56. Solutions At-A-Glance<br />
  57. 57. Information Management<br />Data Warehousing <br />
  58. 58. Insurance Data Warehouse – Project Components<br />
  59. 59. Insurance Data Warehouse – Project Flow<br />
  60. 60. Insurance Data Warehouse – Project Initiation<br /> Laying the ground work for your data warehouse project is essential to success. As your data warehouse development partner, Agile Technologies will assist with the project initiation and accomplishing the following goals:<br />Establish project timelines and deliverables<br />Define expected benefits of the project and definition of success<br />Establish overall scope for the project<br />Appoint a steering committee to oversee project decisions, establish priorities and develop an adoption strategy <br />Appoint an executive sponsor<br />Establish a status reporting process<br />Expose the business community to the overall project<br />Establish budget guidelines for the project<br />
  61. 61. Insurance Data Warehouse – Data Governance<br /> You must understand the quality of your data and develop a plan to cleanse and maintain the data in the operational systems. The quality of the information presented from the data warehouse can only be as good as the data which is sourced into it. Some data can be cleansed in the ETL process however some data may require manual cleanup in the source systems. <br />Profile your operational data to determine what (if anything) needs to be done<br />Establish a data governance and quality team to make decisions on cleansing data<br />Establish a plan to maintain clean data in your operational systems<br />Establish data ownership by the business user community<br />Develop plans to cleanse data via routines in your ETL process<br />
  62. 62. Data Profiling – Better Understanding Your Data Today<br />
  63. 63. Insurance Data Warehouse – Business Requirements<br /> Work with the business community to establish formal business requirements. This will provide the information necessary to develop the data design which will service the needs of the business community and identify things such as:<br />Business Data / Source Systems<br />Operational systems (Policy, Claims, Billing, Finance etc.)<br />Spreadsheets<br />External Data<br />Key Performance Indicators (KPIs)<br />Data granularity<br />Load frequency<br />Security<br />Data delivery and reporting requirements<br />How do the business users want the data presented?<br />Target user groups<br />
  64. 64. Insurance Data Warehouse – Database design<br /> A data warehouse should be designed to service the needs of the business. Proper database design will be extensible and flexible to allow for growth and expansion as your business evolves. Agile Technologies can customize our proven insurance standard data models to meet your specific business needs.<br />Dimensions – Informational data which will provide the means by which data will be segmented, such as:<br />Product Attributes (ASL, Subline, Program)<br />Geography Attributes (State, County, Rating Territory, Zip)<br />Coverage Attributes (Coverage, Limits, Deductibles)<br />Risk Attributes (Risk Class, Location, Sub location)<br />Distribution Channel Attributes (MGA, Retail Agents, Direct)<br />Facts – Statistics which measure the performance <br /> of your business or operation.<br />Premiums (Direct, Ceded, Assumed, Net)<br />Losses (Paid, Expense, Reserve, Incurred, IBNR)<br />Exposure (Basis and Units)<br />Ratios (Loss, Expense, LAE, Combined)<br />
  65. 65. Insurance Data Warehouse – ETL Design and Development<br /> The ETL process will move data from source systems into the data warehouse. The process may include staging databases to control the flow of data and provide points of audit in the process. <br />
  66. 66. Insurance Data Warehouse – Data Validation and Balancing<br /> Proper data validation and balancing will ensure the data in the data warehouse is a complete and accurate representation of your business and its performance. Data should be balanced back to the source systems at multiple levels. Creating a simple balancing matrix will provide a comprehensive set of audit documentation along with transactional audit logs systematically generated during the ETL Process.<br />
  67. 67. Insurance Data Warehouse – Security and Presentation / BI <br />Security<br />A data warehouse contains data which may be sensitive in nature. Proper data security is required to ensure data is only viewed or accessed by those authorized to consume the data.<br />Presentation / Business Intelligence<br />The data in a data warehouse can be presented to the users in the form of reports, graphs, charts, scorecards or dashboards. These tools can be evaluated based on their data presentation capabilities, performance, and compatibility with selected database platforms. Self-service capabilities must also be considered in selecting which tool is right for your organization. A BI Tool can allow you to easily identify and analyze trends in your business, measure progress to plans and send alerts based on conditions in your business.<br />
  68. 68. Insurance Data Warehouse – Capacity Planning<br />Capacity Planning<br />Data in a data warehouse is often denormalized and should be designed for efficient reporting. The denormalization of the dimensions creates a large data store which requires proper capacity planning. Understanding the expected volume of data within your data warehouse will facilitate hardware requirements, database design requirements (partitioning, indexing, aggregate tables) and load execution timeframes.<br />
  69. 69. Information Management <br />Data Models<br />March 2010<br />
  70. 70. Agile Insurance Data Models<br />Benefits<br />Quick start on development of Insurance Data Warehouse environment<br />Benefit from experience of many Agile Data Warehouse implementations<br />Expedite maturity of data warehouse and analytics that can be generated<br />Property & Casualty Insurance<br />Technology Independent<br />Business Process Independent<br />Uses<br />Normalized (Staging, ODS)<br />Dimensional (Data Marts, End-User Analytics)<br />Cost<br />Included as part of Agile implementation services<br />One example of numerous collateral framework components Agile leverages as part of its substantial experience base<br />
  71. 71. Agile Insurance Data Models<br />Line of Business<br />Personal<br />Auto<br />Homeowners & Dwelling Fire<br />Commercial (Admitted and Non-Admitted)<br />Commercial Property<br />Commercial Liability<br />Commercial Auto<br />Program Business<br />Surety<br />Subject Areas<br />Quote<br />Policy<br />Claims<br />Billing<br />Reinsurance<br />Distribution Channels<br />Forecast / Plan<br />
  72. 72. Normalized Insurance Data Model<br />
  73. 73. Dimensional Insurance Data Models<br />Dimensional Models<br />Premium Detail<br />Loss Detail<br />Aggregates<br />Actuarial<br />Finance<br />Driven by Client<br />Analytic Needs<br />Application Specific<br />
  74. 74. Information Management<br />Business Intelligence<br />
  75. 75. Business Intelligence – Introduction<br /> Business Intelligence (BI) is an environment in which business users have access to information that is reliable, timely, consistent and understandable.  With this information, and with industry standard BI tools, business users are able to conduct analyses that provide an overall understanding of the business. Business intelligence serves two main purposes:<br />It monitors the financial and operational health of the organization and <br />It provides analytical, modeling and forecasting capabilities that allows the business to anticipate and manage future business performance.<br />
  76. 76. Business Benefits of BI Implementations<br />Tactical<br />Monitors Financial and Operational Health of the Organization<br />Reports, Charts, etc…<br /> Regulates Operations of the Organization<br />Alerts, Dashboards, etc…<br />Operational<br />Gain a better understanding of the market and customers’ needs<br />Reduce operating costs through increased efficiency<br />Reduce customer churn and improve retention through better loyalty programs and customer service <br />Strategic<br />Improved Decision Making<br />Align Strategy with Results<br />Change Processes and Improve Results<br />Source: Microsoft<br />
  77. 77. Business Intelligence – Project Roadmap<br />BI Requirements<br />Identify Stakeholders<br />Identify Control Reports<br />Document Requirements<br />Stakeholder Sign- Off on Requirements<br /><ul><li>BI Metadata Design and Construction
  78. 78. Organization
  79. 79. Construction
  80. 80. Publish Metadata
  81. 81. Construction
  82. 82. Report Construction
  83. 83. Delivery Construction
  84. 84. Security Construction
  85. 85. Unit Test
  86. 86. Test and Validation
  87. 87. Report Validation
  88. 88. Delivery Validation
  89. 89. Security Validation
  90. 90. Stakeholder Project Sign-Off</li></li></ul><li>Business Intelligence – Requirements<br />Identify Stakeholders<br />And Interview<br />Control Reports<br />New Scorecards<br />New Reports<br />New Dashboards<br />Requirements <br />Template<br />Field Mapping<br />Gap Analysis<br />Gap Resolution<br />Stakeholders Sign – Off<br />
  91. 91. Project Plan - Metadata Design & Construction<br />Data Mart<br />ODS<br />Multi-Dimensional<br />Aggregation<br />Transform Data<br />Create Aggregate<br />Hierarchy<br />Business Terms<br />Create and Publish<br />Construct Metadata Project<br />Organize by Subject Area<br />Metadata Packages<br />
  92. 92. Project Plan - Construction<br />Construct Reports<br />New Dashboards<br />Control Reports<br />New Reports<br />New Scorecards<br />Unit Test<br />Construct Delivery and Security<br />Web Portal<br />E-mail<br />Report Bursting<br />Security<br />Unit Test<br />
  93. 93. Project Plan - Test and Validate<br /> Control Reports <br /> Source System<br /> Metadata<br />Control Reports<br />Validate all other Reports / Scorecards / Dashboards <br />End to End Test<br />User Acceptance and Sign - Off<br />
  94. 94. Data Warehousing - Making BI More Effective<br />Data structure and definition is more easily understood for people constructing analytics and reports<br />Organized for efficient BI processes<br />Analytics and reports run faster<br />Pre-aggregated dimensional models for comparative analysis<br />Data is transformed from source systems to a common level of detail (grain) making it easier to use in analytics and reports<br />Supports drill down and drill through to easily view the details behind a report<br />Manages historical data <br />Historical data is frequently not managed in OLTP source systems<br />Provides point in time analysis<br />Makes BI faster, better, easier and more effective <br />
  95. 95. Next Steps<br />