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Capabilities Overview 20100414 V1
 

Capabilities Overview 20100414 V1

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    Capabilities Overview 20100414 V1 Capabilities Overview 20100414 V1 Presentation Transcript

    • Information Management Solutions
      Discussion Document
    • Agenda
      Review Meeting Objectives
      Agile Projects
      Information Management Practice
      Data Warehousing
      Business Intelligence
      Data Integration
      Advanced Analytics
      Data Governance
      Next Steps
    • Information Management
      Agile Projects March 2010
    • Who we are …
      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.
      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.
      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.
      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.
      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.
    • Mergers, Acquisitions, Affiliations and New Players
      Margin Pressure
      Global Marketplace
      Changing Regulatory and Compliance Environment
      New Products and Services
      Customer Needs Clear Answers and Partners They Know
      Broker/Wholesaler/Agency Support, Compensation, Licensing & Education
      Business Dynamics Creating Opportunities to Differentiate
    • Technology Solutions Making a Bottom Line Impact
      Improve Process Efficiency
      Reduce time to market into Custom Development Efforts
      Reduce Risks (Implementation and Changes)
      Increase Management Controls
      Accelerate Program Introduction, Training and Support
      Improve Customer Satisfaction (Quality time with clients)
      Drive Technology ROI (Software and Hardware)
      Enhance Systems Flexibility and Reporting
    • Agile Technologies’ Value PropositionIn Action
      Industry Knowledge – Our teams consist of industry professionals that understand, have managed and improved all elements of property & casualty insurance businesses.
      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.
      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.
      Hands-on Executive Leadership – The entire executive team has extensive experience in insurance and is involved in every engagement.
      Demonstrated Flexibility in Approach – Our approach positions our clients for success using blended teams.
    • An Engagement ApproachTo Maximize Your Results
      DEFINE
      Current
      Environment
      DEFINENewEnvironment
      BUILDRoadmapTo Get There
      BUILDNew Environment
      LEVERAGENewEnvironment
      GAP ANALYSIS
      ASSESSMENT
      BENEFITS
      REALIZATION
      IMPLEMENTATION
      VISIONING
      • Validate and understand objectives
      • 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
      • Communication
      • Control
      • Transformation
      • Organization
      • People
      • Installation
      • Continuous advancement
      • Aggressively manage the realization of the value proposition
      • Manage reliability and availability
      • Reduce operating costs
      • Lessons Learned
      • Cross-Implement
    • Insurance Value Chain Fully Served
      Risk
      Distribution
      Indemnification
      Increase Surplus/
      Reduce Exposure
      Insurance
      Carriers
      RRGs
      Self Insureds
      Reinsurers
      Captives
      Bonds
      Syndicate
      Agents
      Producers
      Brokers
      Direct
      Insureds
      Business Acquisition
      Policy
      Claims
      Cash and Disbursements
      Finance, Actuarial and Support
      Our firm has served every aspect of the insurance value chain
      We have served every functional area in the insurance business life cycle
      We have a history of success in providing innovative technical solutions for complex business process challenges
    • ManagingSuccessful Outcomes
      CUSTOM DEVELOPMENT
      • Portals
      • Web Development
      • Application Integration
      • System Consolidation
      • Offshore Development
      PROCESSING SYSTEMS IMPLEMENTATION
      • Mergers & Processing Systems Implementation
      • Acquisition Planning
      • Technology Planning
      • Policy, Claims, Reinsurance
      • Actuarial
      • CAT Management
      • CRM
      • Financial
      BROKERAGE & AGENCY SYSTEMS
      • Broker / Carrier Integration
      • CRM
      • Account Aggregation
      • Plan Administration Systems
      • Benefits Communications
      INFORMATION DELIVERY
      • Data Warehousing
      • OLAP Implementation
      • Database Conversion
      • Data Consolidation & Scrubbing
    • Information Management
      Solution Overview
    • Solutions At-A-Glance
    • Information Management
      Data Warehousing
    • Insurance Data Warehouse – Project Components
    • Insurance Data Warehouse – Project Flow
    • Insurance Data Warehouse – Project Initiation
      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:
      Establish project timelines and deliverables
      Define expected benefits of the project and definition of success
      Establish overall scope for the project
      Appoint a steering committee to oversee project decisions, establish priorities and develop an adoption strategy
      Appoint an executive sponsor
      Establish a status reporting process
      Expose the business community to the overall project
      Establish budget guidelines for the project
    • Insurance Data Warehouse – Data Governance
      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.
      Profile your operational data to determine what (if anything) needs to be done
      Establish a data governance and quality team to make decisions on cleansing data
      Establish a plan to maintain clean data in your operational systems
      Establish data ownership by the business user community
      Develop plans to cleanse data via routines in your ETL process
    • Data Profiling – Better Understanding Your Data Today
    • Insurance Data Warehouse – Business Requirements
      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:
      Business Data / Source Systems
      Operational systems (Policy, Claims, Billing, Finance etc.)
      Spreadsheets
      External Data
      Key Performance Indicators (KPIs)
      Data granularity
      Load frequency
      Security
      Data delivery and reporting requirements
      How do the business users want the data presented?
      Target user groups
    • Insurance Data Warehouse – Database design
      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.
      Dimensions – Informational data which will provide the means by which data will be segmented, such as:
      Product Attributes (ASL, Subline, Program)
      Geography Attributes (State, County, Rating Territory, Zip)
      Coverage Attributes (Coverage, Limits, Deductibles)
      Risk Attributes (Risk Class, Location, Sub location)
      Distribution Channel Attributes (MGA, Retail Agents, Direct)
      Facts – Statistics which measure the performance
      of your business or operation.
      Premiums (Direct, Ceded, Assumed, Net)
      Losses (Paid, Expense, Reserve, Incurred, IBNR)
      Exposure (Basis and Units)
      Ratios (Loss, Expense, LAE, Combined)
    • Insurance Data Warehouse – ETL Design and Development
      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.
    • Insurance Data Warehouse – Data Validation and Balancing
      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.
    • Insurance Data Warehouse – Security and Presentation / BI
      Security
      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.
      Presentation / Business Intelligence
      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.
    • Insurance Data Warehouse – Capacity Planning
      Capacity Planning
      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.
    • Information Management
      Data Models
      March 2010
    • Agile Insurance Data Models
      Benefits
      Quick start on development of Insurance Data Warehouse environment
      Benefit from experience of many Agile Data Warehouse implementations
      Expedite maturity of data warehouse and analytics that can be generated
      Property & Casualty Insurance
      Technology Independent
      Business Process Independent
      Uses
      Normalized (Staging, ODS)
      Dimensional (Data Marts, End-User Analytics)
      Cost
      Included as part of Agile implementation services
      One example of numerous collateral framework components Agile leverages as part of its substantial experience base
    • Agile Insurance Data Models
      Line of Business
      Personal
      Auto
      Homeowners & Dwelling Fire
      Commercial (Admitted and Non-Admitted)
      Commercial Property
      Commercial Liability
      Commercial Auto
      Program Business
      Surety
      Subject Areas
      Quote
      Policy
      Claims
      Billing
      Reinsurance
      Distribution Channels
      Forecast / Plan
    • Normalized Insurance Data Model
    • Dimensional Insurance Data Models
      Dimensional Models
      Premium Detail
      Loss Detail
      Aggregates
      Actuarial
      Finance
      Driven by Client
      Analytic Needs
      Application Specific
    • Information Management
      Business Intelligence
    • Business Intelligence – Introduction
      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:
      It monitors the financial and operational health of the organization and
      It provides analytical, modeling and forecasting capabilities that allows the business to anticipate and manage future business performance.
    • Business Benefits of BI Implementations
      Tactical
      Monitors Financial and Operational Health of the Organization
      Reports, Charts, etc…
      Regulates Operations of the Organization
      Alerts, Dashboards, etc…
      Operational
      Gain a better understanding of the market and customers’ needs
      Reduce operating costs through increased efficiency
      Reduce customer churn and improve retention through better loyalty programs and customer service
      Strategic
      Improved Decision Making
      Align Strategy with Results
      Change Processes and Improve Results
      Source: Microsoft
    • Business Intelligence – Project Roadmap
      BI Requirements
      Identify Stakeholders
      Identify Control Reports
      Document Requirements
      Stakeholder Sign- Off on Requirements
      • BI Metadata Design and Construction
      • Organization
      • Construction
      • Publish Metadata
      • Construction
      • Report Construction
      • Delivery Construction
      • Security Construction
      • Unit Test
      • Test and Validation
      • Report Validation
      • Delivery Validation
      • Security Validation
      • Stakeholder Project Sign-Off
    • Business Intelligence – Requirements
      Identify Stakeholders
      And Interview
      Control Reports
      New Scorecards
      New Reports
      New Dashboards
      Requirements
      Template
      Field Mapping
      Gap Analysis
      Gap Resolution
      Stakeholders Sign – Off
    • Project Plan - Metadata Design & Construction
      Data Mart
      ODS
      Multi-Dimensional
      Aggregation
      Transform Data
      Create Aggregate
      Hierarchy
      Business Terms
      Create and Publish
      Construct Metadata Project
      Organize by Subject Area
      Metadata Packages
    • Project Plan - Construction
      Construct Reports
      New Dashboards
      Control Reports
      New Reports
      New Scorecards
      Unit Test
      Construct Delivery and Security
      Web Portal
      E-mail
      Report Bursting
      Security
      Unit Test
    • Project Plan - Test and Validate
      Control Reports
      Source System
      Metadata
      Control Reports
      Validate all other Reports / Scorecards / Dashboards
      End to End Test
      User Acceptance and Sign - Off
    • Data Warehousing - Making BI More Effective
      Data structure and definition is more easily understood for people constructing analytics and reports
      Organized for efficient BI processes
      Analytics and reports run faster
      Pre-aggregated dimensional models for comparative analysis
      Data is transformed from source systems to a common level of detail (grain) making it easier to use in analytics and reports
      Supports drill down and drill through to easily view the details behind a report
      Manages historical data
      Historical data is frequently not managed in OLTP source systems
      Provides point in time analysis
      Makes BI faster, better, easier and more effective
    • Next Steps