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Interactive Insurance Analytics


Readymade Insurance Reporting/Analytics Solution
                           on QlikView Platform


                    Team Business Solutions LLC
Team Computers - A Profile


INDIA                                       US
• 1300+ Employees                           • Employees (10 + 4)
• 32 Locations                              • 2 Locations
• Covering 500+ districts                   • Covering CA and NY now
• Infra Supply, Infra Support               • BI: QlikView (only)
   and Info Services                        • Additional Businesses:
• 2000 customers across all                   Google Enterprise Solutions
   products                                   & Application Management
• Gross Income of US$ 50 Mi                   Services
                                            • Gross Income of US$500k in
                                              first 6 months



       2          22-Apr-12   Team Business Solutions LLC
Team - QlikView Practice
    Profile

INDIA
• 150+ Customers over 4 Yrs
• CMMi Level 3 Certified (QlikView Implementation)
• 15,000 Licenses
    – 2 Installations > 1000 licenses
    – Over 15 Installations > 100 lic
•   400+ Apps Built & Deployed
•   80+ Consultants Currently (adding)
    – 12 Certified by QlikTech
    – More going through certification process now
    – Others trained in house (on the CMMi Level 3 Process)
•   Presence in Delhi, Mumbai & Bangalore. Other places
    remote

     3           22-Apr-12   Team Business Solutions LLC
Executive Introduction

•   Readymade Templates
•   Dashboards / Analysis / Reports for Multiple Insurance
    Functions
•   Map to the existing data

•   Unified Insurance Data Model
•   Insurance Data Dictionary

•   Integrates various Insurance Data Sources

•   Cost per report is kept low
     – Even for new reports


•   Very short time to deploy - Quick Wins
Our Insurance Customers
Other Financial Services Customers
Typical Insurance Business
Information Needs …

• Analyze Losses & Expenses
    o High Combined ratio is unhealthy
• Monitor turnaround time (TAT )
    o Delays lead to loss of opportunity
• Improve Accuracy and Timeliness of information
    o To focus only on profitable opportunities
• Deeper and integrated Insights (single version of
  truth)
    o M&As lead to disparate silos of information
• Lower the cost for Compliance and MIS Reporting
    o Cost per report is too high
Information Visibility Challenges

• Reports
   o Too many Reports, too much time, too expensive
       How can we reduce time and cost?


• Accuracy?
       How can we make it more accurate and more
        reliable?


• Future Visibility?
   o What IF analysis, evaluating different scenarios
Business Intelligence and
                            Analytics
                        Optimization                         What’s the best that can happen?

                        Predictive modeling
                                                             What will happen next?
Competitive advantage




                        Forecasting / extrapolation          What if these trends continue?
                                                                                                Analytics
                        Scenario Analysis
                                                             What all can happen?

                        Statistical analysis
                                                             Why is this happening?


                        Alerts                               What actions are needed?


                        Query / drill down                   Where exactly is the problem?
                                                                                                Access and
                                                                                                reporting
                        Ad hoc reports                       How many, how often, where?


                        Standard reports
                                                             What happened?


                                               Degree of Intelligence
Insurance Framework

– Core Insurance
    – Policy, Claims,
    – Audit, Finance
                                       Derived from
– Customer Life-Cycle
                                        Standard
    – Marketing
                                        Functional
    – Leads, Sales
                                         Needs
– Risk Profiling
    – Loss Analytics, Loss Triangles
    – Loss Reserving, Loss Profiles
– Distribution
    – TPD Performance
    – Sales Performance
– Integrated Analytics
    – CEO & Functional Dashboards
Insurance Solution Overview

 Advanced
Analytics –
  Scoring,
 Modeling,
   Data
  Mining,                  Predefined Templates
Predictions,
    …




 ODS/          Q-ODS/DWH
 DWH           Connector




  Portal
 Access of
 Historical
   Data
Architecture

•   4 Tier Architecture
     – Extraction, Unification (UDM), Business Rules (QDM), Visual
       Applications


•   Common Data Dictionary (CDD)
         -> Unified Data Model (UDM)
                  -> Q-Insure Data Model
                          -> Predefined Templates with KPIs
•   Unified Data Model
     – Pre-processed
     – Cleansed
     – Connected Snow-flake schema


•   Can directly populate into a Warehouse Platform
     – No expensive ETL solution required
Predefined Templates

•   Readymade Insurance BI framework
    – Built on top of QlikView BI Engine (a product of QlikTech, a
      Sweden based company)
    – Predefined set of Key Performance Indicators (KPIs)
    – Add more KPIs depending upon business need


•   Key Dashboards
    –   CEO Dashboard
    –   Policy Analytics
    –   Premium Analytics
    –   Loss/Claims Analytics
    –   Loss Triangles / Ratios
    –   Compliance
Key Performance Indicators
       KPI’s

                     Profit
                                   Underwriting
                     Sales
      CEO                            profits



                                                     Underwriter
            Compliance
CFO          Expenses                Losses

                                                  Claims Adjustor



COO
            Operational
             efficiency        Pricing
                              accuracy
                                                   Actuary
Demo of Templates
Data Architecture


Data Sources                                                       Unified Insurance
Policy admin, Lead        Extract                         Unify    Data model
                                    Raw Data Stores
Mgmt, Claims admin, etc                                            (UIDM)




                                                                          Apply BZ Rules
                     Dashboards

                                        What-if
  Analytics                             Analysis


                   Q-Insure
                  Applications                     QLIKMARTS           Q-Insure
                                                                      Data Model
                                                                       (QIDM)
     Reports                          Scorecards

                                                        4 Tier Data Architecture
Quality In-Built

Challenge
• Report / Metric Specs change -> Change Management ->
  Ensuring Quality

Solution
• Templates have built-in Control Reports
• validation of reports after changes - an easy process

Benefit
• Saves hours and hours of effort
• Helps Business users to validate rather than overloading IT
  users
User Types

Q-Insure Modelers                                      Q-Insure Admins
-   Map source systems into the Extraction             -   Q-Deployer administrators Deploy / remove
    Common Data Dictionary                                 applications, new versions etc
-   Transform and create the Unified Data Model        -   Create / Modify / Delete users
-   Trustees of the Integrity of the Unified Data      -   Assign access rights to users vs. applications
    Model                                              -   No need for QlikView development skills
-   Existing DBAs and Functional Consultants play      -   Can be performed by existing IT Administrators
    this role

Q-Insure Developers                                    Q-Insure Business Users
-   Trained on QlikView and Q-Insure Unified Data      -   Access the applications through Q-Deployer
    Model
                                                       -   Slice & Dice and View
-   Create New Dashboards/Reports/Analytics
    from QDM                                           -   Create new charts / graphs, bookmarks
-   Cannot change data in QDM, but can add             -   Collaborate - Share Bookmarks, Objects with other
    further processing                                     users
-   Very quick creation of new reports / analytics /
    scorecards / dashboards
Enterprise Aspects

•   SSO Integration to ADS/LDAP
•   Q-Deployer - available as a front-end for user access
•   Integration with Portals - Sharepoint, Websphere
•   Distribution of Reports / Analytics / Dashboards - Interactive
    and Static
•   Clustering - of production servers
•   Development, UAT and Production environments
•   Version Management and Deployment Management Process
    Defined
•   Standardized Directory, Table and Application structures
•   Theme-based Enterprise wide Interface Standardisation
•   Approval based deployment process (being added in Q-
    Deployer)
Bill of Materials
Sl. No.      Item                                     Qty     Remarks
1.           Q-Insure Core (Installer, Data           1       Base component
             Manager, Monitor)
2.           Q-Insure Life Data Model                 1
3.           Q-Insure P&C Data Model                  1
4.           Q-Insure Deployer                        1
5.           Q-Insure ODS/DWH Connector               1
6.           Admin Enablement                         1       10 days on-site
7.           Qlikview Server                          1       Production Server
8.           QlikView Test Server                     1       Test / UAT Server
9.           QlikView Local Clients                   5       Development Client
10.          QlikView Named CALs                      [n]     # of power users
11.          QlikView Document CALs                   [m]     # of User / Document combinations for non-
                                                              power users
12.            Requirements Assessment                          Fixed 10 days consulting
Mapping, Design, Develoment, Testing, Integration & Deployment service as needed.
Estimates after Requirements Assessment
Case Study –
California Casualty Management Company
Business Need

Reduce cost on Compliance & MIS reporting, and Single version of truth


Challenges

 •   Disparate data systems and no single view of Information
 •   Need for rationalizing cost and complexity of legacy reporting system

Solution
 •   Unified Data Model - integrating data from various sources in QVD repository
 •   Compliance & MIS Reports using QlikView - speed and accuracy
 •   Business & Performance Analytics - KPI based reporting/analytics

Key Benefits
 •   Reduced cost per report
 •   Support management to increase efficiency across organization
 •   Increased Visibility, esp. for marketing department functions
                                                                              Ba
                                                                              ck
Case Study –
Reliance General Insurance
Business Need

Improve Operational Efficiency and get deeper Business insights


Challenges

 •   Disparate data systems and no single view of Information


Solutions

 •   Daily Performance Reporting for Sales
 •   Operational Reports and Analytics across all functions


Key Benefits
 •   Improved decision making – alerts and scores
 •   Extensive coverage of insurance analytics reports
 •   Accelerates implementation of Business Intelligence
                                                                  Ba
                                                                  ck
Case Study –
Royal Sundaram Alliance General Insurance
Business Need

Increase underwriting profits and control loss ratio


Challenges

 •   Disparate data systems and no single view of Information


Solutions

 •   Underwriting
 •   Claims Analytics


Key Benefits

 •   Improved Time-To-Decision
 •   Quick answers to Questions of Top Management

                                                                Ba
                                                                ck
Way Forward…



•   Requirements Understanding
•   Solution Roadmap Definition
•   Solution Proposal
•   Buying Decision
Jaikumar – jaikumar.k@teamcomputers.com




                                          Thank You
Insurance Companies in India - Life

• Reliance Life Insurance (Life)
   – Over 5 Million Lives
   – 1200 Users of QV: Sales, Operations, Compliance, Underwriting
   – Using QV for 4 years
• Birla Sun Life Insurance (Life)
   – Over 2 Million Lives
   – 25 Users of QV: Daily/Monthly Reporting, Compliance, Finance
   – Using QV for 2 years
• SBI Life Insurance (Life)
   –   Largest Private Insurance Player in India
   –   65000 agents
   –   100 Users of QV: Planning, Scenario Analytics
   –   Using QV for 3 months

                              Team Business Solutions LLC
Insurance Companies in India – P&C

• Reliance General Insurance (P&C)
   – 173 Cities in 22 States. 94 Customized Products
   – 300 Users of QV: Sales, Underwriting, Operations, Compliance
   – 4 years
• Royal Sundaram Alliance Insurance (P&C)
   – 150 Cities. Multi Channel
   – 200 Users of QV: Sales, Underwriting, Operations, Channel,
     Compliance
   – 3 years
• IFFCO TOKIO General Insurance (P&C)
   –   150 offices. 1000 employees. 56 Strategic Business Units.
   –   Innovative Niche and Rural Products.
   –   100 Users of QV: Sales, Underwriting, Operations, Field Force
   –   3 months
                              Team Business Solutions LLC

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Q insure

  • 1. Interactive Insurance Analytics Readymade Insurance Reporting/Analytics Solution on QlikView Platform Team Business Solutions LLC
  • 2. Team Computers - A Profile INDIA US • 1300+ Employees • Employees (10 + 4) • 32 Locations • 2 Locations • Covering 500+ districts • Covering CA and NY now • Infra Supply, Infra Support • BI: QlikView (only) and Info Services • Additional Businesses: • 2000 customers across all Google Enterprise Solutions products & Application Management • Gross Income of US$ 50 Mi Services • Gross Income of US$500k in first 6 months 2 22-Apr-12 Team Business Solutions LLC
  • 3. Team - QlikView Practice Profile INDIA • 150+ Customers over 4 Yrs • CMMi Level 3 Certified (QlikView Implementation) • 15,000 Licenses – 2 Installations > 1000 licenses – Over 15 Installations > 100 lic • 400+ Apps Built & Deployed • 80+ Consultants Currently (adding) – 12 Certified by QlikTech – More going through certification process now – Others trained in house (on the CMMi Level 3 Process) • Presence in Delhi, Mumbai & Bangalore. Other places remote 3 22-Apr-12 Team Business Solutions LLC
  • 4. Executive Introduction • Readymade Templates • Dashboards / Analysis / Reports for Multiple Insurance Functions • Map to the existing data • Unified Insurance Data Model • Insurance Data Dictionary • Integrates various Insurance Data Sources • Cost per report is kept low – Even for new reports • Very short time to deploy - Quick Wins
  • 7. Typical Insurance Business Information Needs … • Analyze Losses & Expenses o High Combined ratio is unhealthy • Monitor turnaround time (TAT ) o Delays lead to loss of opportunity • Improve Accuracy and Timeliness of information o To focus only on profitable opportunities • Deeper and integrated Insights (single version of truth) o M&As lead to disparate silos of information • Lower the cost for Compliance and MIS Reporting o Cost per report is too high
  • 8. Information Visibility Challenges • Reports o Too many Reports, too much time, too expensive  How can we reduce time and cost? • Accuracy?  How can we make it more accurate and more reliable? • Future Visibility? o What IF analysis, evaluating different scenarios
  • 9. Business Intelligence and Analytics Optimization What’s the best that can happen? Predictive modeling What will happen next? Competitive advantage Forecasting / extrapolation What if these trends continue? Analytics Scenario Analysis What all can happen? Statistical analysis Why is this happening? Alerts What actions are needed? Query / drill down Where exactly is the problem? Access and reporting Ad hoc reports How many, how often, where? Standard reports What happened? Degree of Intelligence
  • 10. Insurance Framework – Core Insurance – Policy, Claims, – Audit, Finance Derived from – Customer Life-Cycle Standard – Marketing Functional – Leads, Sales Needs – Risk Profiling – Loss Analytics, Loss Triangles – Loss Reserving, Loss Profiles – Distribution – TPD Performance – Sales Performance – Integrated Analytics – CEO & Functional Dashboards
  • 11. Insurance Solution Overview Advanced Analytics – Scoring, Modeling, Data Mining, Predefined Templates Predictions, … ODS/ Q-ODS/DWH DWH Connector Portal Access of Historical Data
  • 12. Architecture • 4 Tier Architecture – Extraction, Unification (UDM), Business Rules (QDM), Visual Applications • Common Data Dictionary (CDD) -> Unified Data Model (UDM) -> Q-Insure Data Model -> Predefined Templates with KPIs • Unified Data Model – Pre-processed – Cleansed – Connected Snow-flake schema • Can directly populate into a Warehouse Platform – No expensive ETL solution required
  • 13. Predefined Templates • Readymade Insurance BI framework – Built on top of QlikView BI Engine (a product of QlikTech, a Sweden based company) – Predefined set of Key Performance Indicators (KPIs) – Add more KPIs depending upon business need • Key Dashboards – CEO Dashboard – Policy Analytics – Premium Analytics – Loss/Claims Analytics – Loss Triangles / Ratios – Compliance
  • 14. Key Performance Indicators KPI’s Profit Underwriting Sales CEO profits Underwriter Compliance CFO Expenses Losses Claims Adjustor COO Operational efficiency Pricing accuracy Actuary
  • 16. Data Architecture Data Sources Unified Insurance Policy admin, Lead Extract Unify Data model Raw Data Stores Mgmt, Claims admin, etc (UIDM) Apply BZ Rules Dashboards What-if Analytics Analysis Q-Insure Applications QLIKMARTS Q-Insure Data Model (QIDM) Reports Scorecards 4 Tier Data Architecture
  • 17. Quality In-Built Challenge • Report / Metric Specs change -> Change Management -> Ensuring Quality Solution • Templates have built-in Control Reports • validation of reports after changes - an easy process Benefit • Saves hours and hours of effort • Helps Business users to validate rather than overloading IT users
  • 18. User Types Q-Insure Modelers Q-Insure Admins - Map source systems into the Extraction - Q-Deployer administrators Deploy / remove Common Data Dictionary applications, new versions etc - Transform and create the Unified Data Model - Create / Modify / Delete users - Trustees of the Integrity of the Unified Data - Assign access rights to users vs. applications Model - No need for QlikView development skills - Existing DBAs and Functional Consultants play - Can be performed by existing IT Administrators this role Q-Insure Developers Q-Insure Business Users - Trained on QlikView and Q-Insure Unified Data - Access the applications through Q-Deployer Model - Slice & Dice and View - Create New Dashboards/Reports/Analytics from QDM - Create new charts / graphs, bookmarks - Cannot change data in QDM, but can add - Collaborate - Share Bookmarks, Objects with other further processing users - Very quick creation of new reports / analytics / scorecards / dashboards
  • 19. Enterprise Aspects • SSO Integration to ADS/LDAP • Q-Deployer - available as a front-end for user access • Integration with Portals - Sharepoint, Websphere • Distribution of Reports / Analytics / Dashboards - Interactive and Static • Clustering - of production servers • Development, UAT and Production environments • Version Management and Deployment Management Process Defined • Standardized Directory, Table and Application structures • Theme-based Enterprise wide Interface Standardisation • Approval based deployment process (being added in Q- Deployer)
  • 20. Bill of Materials Sl. No. Item Qty Remarks 1. Q-Insure Core (Installer, Data 1 Base component Manager, Monitor) 2. Q-Insure Life Data Model 1 3. Q-Insure P&C Data Model 1 4. Q-Insure Deployer 1 5. Q-Insure ODS/DWH Connector 1 6. Admin Enablement 1 10 days on-site 7. Qlikview Server 1 Production Server 8. QlikView Test Server 1 Test / UAT Server 9. QlikView Local Clients 5 Development Client 10. QlikView Named CALs [n] # of power users 11. QlikView Document CALs [m] # of User / Document combinations for non- power users 12. Requirements Assessment Fixed 10 days consulting Mapping, Design, Develoment, Testing, Integration & Deployment service as needed. Estimates after Requirements Assessment
  • 21. Case Study – California Casualty Management Company Business Need Reduce cost on Compliance & MIS reporting, and Single version of truth Challenges • Disparate data systems and no single view of Information • Need for rationalizing cost and complexity of legacy reporting system Solution • Unified Data Model - integrating data from various sources in QVD repository • Compliance & MIS Reports using QlikView - speed and accuracy • Business & Performance Analytics - KPI based reporting/analytics Key Benefits • Reduced cost per report • Support management to increase efficiency across organization • Increased Visibility, esp. for marketing department functions Ba ck
  • 22. Case Study – Reliance General Insurance Business Need Improve Operational Efficiency and get deeper Business insights Challenges • Disparate data systems and no single view of Information Solutions • Daily Performance Reporting for Sales • Operational Reports and Analytics across all functions Key Benefits • Improved decision making – alerts and scores • Extensive coverage of insurance analytics reports • Accelerates implementation of Business Intelligence Ba ck
  • 23. Case Study – Royal Sundaram Alliance General Insurance Business Need Increase underwriting profits and control loss ratio Challenges • Disparate data systems and no single view of Information Solutions • Underwriting • Claims Analytics Key Benefits • Improved Time-To-Decision • Quick answers to Questions of Top Management Ba ck
  • 24. Way Forward… • Requirements Understanding • Solution Roadmap Definition • Solution Proposal • Buying Decision
  • 26. Insurance Companies in India - Life • Reliance Life Insurance (Life) – Over 5 Million Lives – 1200 Users of QV: Sales, Operations, Compliance, Underwriting – Using QV for 4 years • Birla Sun Life Insurance (Life) – Over 2 Million Lives – 25 Users of QV: Daily/Monthly Reporting, Compliance, Finance – Using QV for 2 years • SBI Life Insurance (Life) – Largest Private Insurance Player in India – 65000 agents – 100 Users of QV: Planning, Scenario Analytics – Using QV for 3 months Team Business Solutions LLC
  • 27. Insurance Companies in India – P&C • Reliance General Insurance (P&C) – 173 Cities in 22 States. 94 Customized Products – 300 Users of QV: Sales, Underwriting, Operations, Compliance – 4 years • Royal Sundaram Alliance Insurance (P&C) – 150 Cities. Multi Channel – 200 Users of QV: Sales, Underwriting, Operations, Channel, Compliance – 3 years • IFFCO TOKIO General Insurance (P&C) – 150 offices. 1000 employees. 56 Strategic Business Units. – Innovative Niche and Rural Products. – 100 Users of QV: Sales, Underwriting, Operations, Field Force – 3 months Team Business Solutions LLC