For Insurance Vertail developed Q-Insure Product!..

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

5. Our Insurance Customers

6. Other Financial Services Customers

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

15. Demo of Templates

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

25. Jaikumar – jaikumar.k@teamcomputers.com
Thank You

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