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THE ROAD TO AN ANALYTICAL ENTERPRISE
Srinivasan Iyengar, COO – Reliance Life Insurance

Confidential

Slide
Dynamics today…..

Connect the Dots ??? Disparate Sources of Data
Low campaign results resulting in
high acquisition costs v/s low
acquisitions

Build the Blocks ??? Data Insufficiency

Nothing, But the Truth ??? No Single Version of Truth
Inadequate Information for
Analytically Inferred
Strategy

Non-Integrated
Analytics resulting in
Inferential Decisioning

Inaccurate & Inconsistent
Information Dissemination

Where is Eminence ??? Poor Quality of Data

WHO is my Customer ??? No 360 degree View

Inability to deploy segmentbased campaigns and
customized messaging

High Marketing &
Distribution Management
Spends

Spend less and bag more ??? Non-automation of key process
Confidential

Slide
Dynamics today…..

Connect the Dots ??? Disparate Sources of Data
Low campaign results resulting in
high acquisition costs v/s low
acquisitions

Non-Integrated
Analytics resulting in
Inferential Decisioning

Build the Blocks ??? Data Insufficiency

Advent of Big Data…

Nothing, But the Truth ??? No Single Version of Truth
Inadequate Information for
Analytically Inferred
Strategy

Inaccurate & Inconsistent
Information Dissemination

Where is Eminence ??? Poor Quality of Data

WHO is my Customer ??? No 360 degree View

Inability to deploy segmentbased campaigns and
customized messaging

High Marketing &
Distribution Management
Spends

Spend less and bag more ??? Non-automation of key process
Confidential

Slide
Approach to Enterprise Implementation

Strategize

Monitor

Confidential

Design

Deploy

Slide
Approach to Enterprise Implementation
Identification of
Analytical Areas

Sales
Transformation

BIU - Business
Technology
Integration

On Demand Reports
Propensity Modeling
Strategize

Design

Monitor

Customer
Profitability

Deploy

Knowledge
Management

Management
Dashboards
Enterprise
Information
Visualization

Phased
Deployment
Enterprise Participation

Intelligence & Ad-Hoc Analysis

Confidential

Slide
Approach to Enterprise Implementation
What To Do???

Sales
Transformation
Recruitment Profiling
Product Time To Market
On Demand Reports
Acquisition v/s Win-back
Product Mix Gaps
Propensity Modeling
Competitor Product Launch Impact
Strategize
Customer Life-Time Value
Customer
Channel Analytics
Profitability
Product Profitability Modeling

Does it
Management Address the Needs
Dashboards
Board
Monitor
Enterprise
Information Management
Visualization
Employees
Intelligence & Ad-Hoc Analysis
Customers

Confidential

First ThingsIdentification of
First…

Analytical Areas
Integration or Implementation
BIU - Business
Quick Wins Technology
Integration

Let
Design the Others Not Stay Far ☺
Knowledge
Design to Factor nextManagement
stages also

Execution
Deploy Management Commitment
Phased
Deployment
Enterprise Programs
Enterprise Participation
Cultural Transformation
Training / Awareness

Slide
Illustrative End State Model

Confidential

Slide 7
Insurance Industry ......Scenario

Competition

Regulatory Challenges

Confidential

Slide 8
The Results ………It’s a Journey

New Business Revenue
Persistency

Customer Retention

Renewal Collection

Advisor Activization
Reduction in Sales Attrition
Confidential

Slide 9
Some Takeaways......
Amidst all these don’t loose focus on data quality – its
key & iterative
Strong robust ODS (or EDW) is the key foundation layer
Build/maintain computed value elements in ODS layer
and not in presentation layer

It’s a Myth that EDW is a pre-requisite for good analytics
results
Critical to have techno-functional PM to achieve success
to these projects

Confidential

Slide 10
Thank you

Confidential

Slide

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The Road to an Analytical Enterprise

  • 1. THE ROAD TO AN ANALYTICAL ENTERPRISE Srinivasan Iyengar, COO – Reliance Life Insurance Confidential Slide
  • 2. Dynamics today….. Connect the Dots ??? Disparate Sources of Data Low campaign results resulting in high acquisition costs v/s low acquisitions Build the Blocks ??? Data Insufficiency Nothing, But the Truth ??? No Single Version of Truth Inadequate Information for Analytically Inferred Strategy Non-Integrated Analytics resulting in Inferential Decisioning Inaccurate & Inconsistent Information Dissemination Where is Eminence ??? Poor Quality of Data WHO is my Customer ??? No 360 degree View Inability to deploy segmentbased campaigns and customized messaging High Marketing & Distribution Management Spends Spend less and bag more ??? Non-automation of key process Confidential Slide
  • 3. Dynamics today….. Connect the Dots ??? Disparate Sources of Data Low campaign results resulting in high acquisition costs v/s low acquisitions Non-Integrated Analytics resulting in Inferential Decisioning Build the Blocks ??? Data Insufficiency Advent of Big Data… Nothing, But the Truth ??? No Single Version of Truth Inadequate Information for Analytically Inferred Strategy Inaccurate & Inconsistent Information Dissemination Where is Eminence ??? Poor Quality of Data WHO is my Customer ??? No 360 degree View Inability to deploy segmentbased campaigns and customized messaging High Marketing & Distribution Management Spends Spend less and bag more ??? Non-automation of key process Confidential Slide
  • 4. Approach to Enterprise Implementation Strategize Monitor Confidential Design Deploy Slide
  • 5. Approach to Enterprise Implementation Identification of Analytical Areas Sales Transformation BIU - Business Technology Integration On Demand Reports Propensity Modeling Strategize Design Monitor Customer Profitability Deploy Knowledge Management Management Dashboards Enterprise Information Visualization Phased Deployment Enterprise Participation Intelligence & Ad-Hoc Analysis Confidential Slide
  • 6. Approach to Enterprise Implementation What To Do??? Sales Transformation Recruitment Profiling Product Time To Market On Demand Reports Acquisition v/s Win-back Product Mix Gaps Propensity Modeling Competitor Product Launch Impact Strategize Customer Life-Time Value Customer Channel Analytics Profitability Product Profitability Modeling Does it Management Address the Needs Dashboards Board Monitor Enterprise Information Management Visualization Employees Intelligence & Ad-Hoc Analysis Customers Confidential First ThingsIdentification of First… Analytical Areas Integration or Implementation BIU - Business Quick Wins Technology Integration Let Design the Others Not Stay Far ☺ Knowledge Design to Factor nextManagement stages also Execution Deploy Management Commitment Phased Deployment Enterprise Programs Enterprise Participation Cultural Transformation Training / Awareness Slide
  • 7. Illustrative End State Model Confidential Slide 7
  • 9. The Results ………It’s a Journey New Business Revenue Persistency Customer Retention Renewal Collection Advisor Activization Reduction in Sales Attrition Confidential Slide 9
  • 10. Some Takeaways...... Amidst all these don’t loose focus on data quality – its key & iterative Strong robust ODS (or EDW) is the key foundation layer Build/maintain computed value elements in ODS layer and not in presentation layer It’s a Myth that EDW is a pre-requisite for good analytics results Critical to have techno-functional PM to achieve success to these projects Confidential Slide 10