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iBIDS: Comprehensive BI Solution for
Insurance
Business Intelligence for Decision Support
Insurance Business Drivers
• Migrate from fixed to variable costs - both onshore and offshore
• Drive up profitability / margin
• Improve distribution & client service levels, segmentation,
retention & revenues per client
• Increase servicing efficiencies & automation and lower
breaks/exceptions
• Address operational risk controls in insurance product
manufacturing
• Ensure all processes are compliant with current and new
regulatory guidelines
• Gain utmost benefit & transparency from existing IT investment
& staff
• Extend efficiencies across supply chain
• Reduce total claims costs as well as cost of claims operation
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Business Intelligence Trends
• BI standardization
• While BI has been deployed departmentally, IT organizations
are driving enterprise BI standards
• BI to the masses
• Deploying BI to the “corporate middle class” has started
• BI meets applications and processes
• Analytic tools, application package, and integration worlds
continue to collide
• Predictive and applied “inline” analytics
• ITOs will put a bigger focus on predicting and integrating
analytic solutions to solve business problems at the point of
interaction instead of providing retrospective analysis
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
3
BI Continuum: On the Way to
Pervasive BI
Analysts/Mgmt.
Strategy
Process
BI Continuum
Measure
Decide
Align
Optimize
Discover
Analytics
driving process
optimization
BI driving
business
transformation
Pervasive
Signposts:
IT driving BI
CPM driving
strategy
Users:
Specialists,
analysts
Managers,
customers,
partners
Operations,
point of work
Passive:
Delivery of
information
Linked:
Integrated
plans & analyses
Active:
Intelligent
decisions made
quickly
Role
of BI:
Innovate
Networked &
Collaborative:
Constantly
augmenting &
optimizing
performance
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
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Major Drivers and Inhibitors to
Pervasive BI
• Consumerization of use of information
• High expectation of ability to use
and access
• Standardization/commoditization
• Basic BI platform functionality
(i.e., reporting, query, dashboards) broadly
available & “good enough”
• Modularization
• BI functionality becomes more
componentized and service-oriented
• Users and developers can more easily
customize
• Users can add value in pursuit of
self-interest
• Networked collaboration
• Fosters environment of innovation and
contribution
• Ability to easily share and manage user
insights and contributions across wide
numbers of users and applications (not just
internally, either)
• Skills
• Lack of best practices and methodologies
to manage a complex and pervasive set of
BI capabilities
• Users can’t understand the analysis and
correctly interpret the results
• Stability and flexibility of business
processes
• Low process maturity
• Lack of closed-loop process management
• Silo think
• Of infrastructure, applications, definitions,
rules, calculations, etc.
• “NIH” syndrome
• Spreadsheet as information systems
“duct tape”
• Sponsorship
• Limited vision and perceived business
value/impact
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
5
Shift Focus From Individual Projects to
BI as Core Competency Function of BI
Competency Center
Compliance
Enterprise
Architects
Business
Sponsor
CPM
Apps.
Competency
Center
Embedded
Analytic
Embedded
Analytic
BI
Apps.
Service
Providers
BI
Apps.
– Provide vision and strategy
and business plan for
integrated BI initiatives.
– Define standards; establish
overall BI applications
architecture.
– Define and manage product
portfolio.
– Program management
across business, IT and
service providers.
– Define information
standards: data, business
rules, governance, quality …
– Drive competency and
consistency via education
and support.
– Make BI into a core
competency.
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
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iBIDS – Next-Generation BI Solution
for Insurance
• Comprehensive enterprise-wide BI platform
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Data integration and warehousing
Data purity and integrity
Built-in connectivity to operational data stores
Business Intelligence for Decision Support
Advanced OLAP and Data Mining capabilities
Integrated with leading BI front-end tools and technologies
Built on “Think Big - Build Step-By-Step” philosophy
Provides end-to-end Single view of business
Business process KPI driven
Rapid Development and Cost Effective
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iBIDS – Key Business Process
Coverage Areas
Business Intelligence for Decision Support
Budget/
Planning
Delinquency
Patterns
Customer
Segmentation
Market
Segmentation
Product
Configuration
Fraud
Detection
Crosssell/Upsell
Channel
Utilization
Campaign
Management
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iBIDS – Solution Framework
Market/customer
segmentation
Targeted
Marketing
OLAP
Communication
Management
Customer
Profitability
Product
profitability
Customer
Profitability
Service
Reinsurance
Ad-Hoc
Reporting
Performance
Measurements
Organizational
OLAP
Planning OLAP
Indemnity vs.
process Actuarial
Finance
Consistent
MIS
EDW LDM
Liability cash
flow projections
Compliance
Reporting
Investment cash
inflow
OLAP
projections
Meta Data
Data Quality
LitigationOLAP
Logical Infrastructure
Customer
Prepared
Data
OLAP
OLAP
Acquisition/Rete
ntion
Stability, Scalability and
Performance
Service
Operational Excellence
OLAP
Data Driven Decision
Support
Claims
Counts, cost,
Renewal/ Retention
Underwriting
Open
propensity
Event
based
Product
Configuration reserving
models
Analytic Models
Towards
“Business Excellence”
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iBIDS – Solution Framework
• Liability cash flow projection
• Investment cash inflow projections
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Customer profitability
Customer LTV (Life time value models)
Renewal/ Retention propensity
Indemnity vs process
Predictive
Analytics
Financial
Analytics
Segmentation
Analytics
Enterprise iBIDS
• Dynamic run time color coding of
parties like profitable customers
LDM
• Large losses
• Fraudulent patterns
• Event based reserving models
Risk
Analytics
Behavioral
Analytics
• Demographics and psychographics for cross sell /upsell
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iBIDS – Logical Data Model
Functional Coverage
• Customer Analytics
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Demographic, psychographic and geographic
Information
Customer consolidation and household
hdentification
Application, Account details, Financial details,
Scoring and Loyalty
Market research / Survey details
• Marketing Program
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Customer Segmentation for a Promotion
Targeted as well as Event Driven Marketing
Direct / Indirect Customer Responses
• Planning and Performance
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Cost and Revenue Allocations as well as
achievements
Financial details of Organization
Profitability for Organizational hierarchy
• Product and Service Management
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Product Feature Coverage and Pricing
(Actuarial)
Channel Utilisation (including service
providers like Hospitals, Medical practitioners)
Profitability
• Communication
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Proposals, Quotes, Complaints, Queuing
Claim Notifications
Campaign Communication
Customer Contact Management
Web Data Analysis
• Risk Analysis
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Large Losses
Fraudulent patterns
Event based reserving models
• Policy, Claim, Actuarial and Underwriting
Analysis
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Policy Persistency
Renewal / Retention Propensity
Indemnity vs. process
• Reinsurance
• Litigation
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iBIDS Capabilities: Dashboards
Encapsulation and Rendition of Enterprise BI Needs
• Dashboards on key measure
• Analyze Trends for your key
measure
• Analyze key measure against
product category or Rate Plans
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iBIDS Capabilities: Reporting
Actionable Intelligence based on KPIs and Operational Metrics
• Reports and
Analytics available
on key subject areas
• Templates available
for rapid deployment
• Templates based on
TCS rich Domain
Expertise and BI
experience
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iBIDS Capabilities: High-end Analytics
and Predictive Modeling
Customers
sorted in
likelihood to
purchase a
product
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Oracle’s Superior BI Architecture
Designed for Business Insight and Actionable Results
Oracle:
Competition:
Single, Integrated, Global, Scalable, Real-Time Repository
Cost and Complexity
Purchasing Data
Product Data
Supplier
Data
Manufacturing
Data
Transportation
and Logistics
Data
Demand &
Order Data
Pricing Data
Projects Data
Customer Data
HR/HCM Data
Distribution
CRM
Financials
Data Warehouse
Financials Data &
Consolidations
Service
SRM
and
Daily Business
Intelligence
ERP
Planning
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iBIDS Value: Pervasive, Real-time
Insight
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Enterprise semantic model
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Pervasive business insight
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Executives
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Front-line
Employees
Infrastructure integrates with yours
Fastest time to value
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Guided analytics enforce process
Standards based architecture
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Activity monitoring and predictive analytics
Insight driven actions
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Managers
Personalized and embedded information
Real-time predictive insight
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Model centric vs. report centric
Pre-packaged analytic applications
Lowest Cost of Ownership
•
Faster deployment, easier maintenance, less
risk
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iBIDS Value: Actionable Insight for All
Roles
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iBIDS Value: Actionable Insight for All
Users
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iBIDS Value: A Comprehensive NextGeneration BI Platform
Information Access, Analysis and Delivery Options
Intelligence Advanced
Dashboards Reporting
Ad-hoc
Exploration
Proactive In-Context
Detection Operational
and Alerts
Insight
Single, logical view of all
enterprise data (one version
of the truth)
Scalable Performance
Rich Analytical Capabilities
Centralized control, security
and visibility
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Data
Mining
Marketing Web Services
Segmentation & Integration
Open Intelligence
Interface
Oracle BI Server
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Mobile
Analytics
Enterprise Business Model Metadata Services
Intelligent Multi-Level Caching Services
Data Mining Services
Real-Time Decisions Engine
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
All relevant enterprise data
Siebel
sources
OLTP
Oracle
BAW
Enterprise
DW
Department
Data Marts
Relational (SQL) Sources
Back
Office
SAP BW
Other
MultiFile or XML
dimensional
Sources
(MDX) Sources
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TCS BI/Oracle Customers
Insurance
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AIG, USA
Aviva, UK
AXA, UK
Gen Re, Europe
Prudential, USA & UK
Swiss Re, Europe
USAA, USA
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Gartner on TCS
Business Intelligence Implementation Services MQ
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IDC on TCS (2/06)
Excerpts from IDC White paper on “Partnering for
Successful Business Analytics Projects”
• TCS has a robust solution implementation
methodology with supportive internal business
processes
• TCS develops customizable templates and other
reusable assets to replicate client success stories
based on industry and technology expertise
• Dedicated technology centers of excellence ensure
that TCS has employees with the proper technical
skills, meaningful technology partnerships, and best
practices and know-how that are being captured for
reuse
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IDC Names Oracle Business Analytics
Leader for 2005 (11/06)
• Oracle Named Worldwide Market Share Leader in Business
Analytics Software and Data Warehousing Tools (3rd consecutive
year)
• Oracle's Business Intelligence (BI) solutions encompass a
comprehensive, integrated set of leading products including
packaged BI applications, BI platform infrastructure software,
and data warehousing.
• Oracle was the largest business analytics vendor with 13.1
percent market share and revenues of nearly $2.2 billion for
2005 (IDC, “Worldwide Business Analytics Software 2006-2010
Forecast and 2005 Vendor Shares”)
• Oracle is the leader in the data warehousing tools market with
19.3 percent market share and nearly $1.9 billion in software
revenue for 2005 (IDC, “Worldwide Data Warehousing Tools
2005 Vendor Shares”)
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iBIDS: Comprehensive BI Solution for
Insurance
Business Intelligence for Decision Support