Core transformation from a legacy system to

Guidewire InsuranceSuite™ is a complex undertaking.

Successful implementation requires the data from both

systems to be brought together in order to produce

meaningful business insight. As such, the core project

inevitably triggers a parallel data project that adds

risk and complexity.

Data Challenges in Core Transformations

Extractthe rich data from the

modern core systems in a business-meaningful way

Consolidatemultiple data models into a unified set of

records

Translatedata from varied

“producer” systems for use in different “con-

sumer” systems

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To meet this challenge, a comprehensive data solution needs to...

Improvebusiness insight

Accelerateproject delivery and

reduce risk

Achieve

long-term sustainabilityby reducing TCO

TCO

The proper data solution should support these business objectives:

Navigating and Consolidating Complex Core System Data Models

1

Varied Requirements for Downstream Systems Integration

2

The Importance of Building Key Technical Features

3

Skills Disparity in “Maintaining” Versus “Developing” Systems

4

Choosing the right solution

Two anecdotalD-I-Y use cases

The Challenges of D-I-Y Approaches

A $2b DWP insurer spent$35 million over 5 years

A $175m DWP insurer spent$10 million over 2 years

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DataHub

Modern Core Systems Legacy Systems

Enterprise DataWarehouse

InfoCenter

STAT ReportingOther Systems

(i.e. General Ledger)

3

4

Strategic Foundation for InsuranceSuite Customers

Optimal Division of Labor Between Insurer and Guidewire

1

2

Predefined ETL andData Conformance

Specialized Functions for Data Management

The Advantages of a Product-Based Approach