Insurance Data Migration Services for Core Systems

Q: What is insurance data migration?

Insurance data migration is the process of transferring policy, claims, billing and customer data from legacy systems to a new core insurance platform.

Q: Why is insurance data migration so complex?

Insurance systems often contain decades of historical data and complex product structures. Migrating this data requires detailed mapping, testing and validation.

Q: How long does an insurance migration project take?

Project timelines depend on data complexity and number of systems involved. It may take from few months even up to couple of years in most complex scenarios.

Q: How can insurers reduce migration risk?

Risk is reduced through early data analysis, automated validation, reconciliation routines and phased migration strategies.

Q: Can insurance data migration be automated?

Yes. Modern migration programmes often use automated pipelines and specialised tools to process large volumes of data efficiently.

Q: When should migration planning start?

Migration planning should begin early in the core system implementation programme, typically during architecture and design stages.

Q: Why is business involvement important in data migration?

Early business involvement supports correct data mapping decisions, scope prioritisation, faster acceptance, reducing rework and migration risk.

Q: Why are data simplifications often required during migration?

Simplifications help reduce complexity, cost and long‑term maintenance, align data with target system design and enable a faster and more controlled production go‑live.

Structured migration strategy

Legacy data accumulated over decades creating hidden complexity?

We assess legacy structures and dependencies to define a realistic migration approach.

Better data quality and consistency

Poor data quality and missing history putting migration accuracy at risk

We improve consistency through cleansing, validation and reconciliation.

Predictable migration delivery

High migration costs and long timelines making programmes harder to control?

We use structured frameworks and automation to improve predictability.

Safer system transition

Operational risk during transition increasing concerns about downtime or data loss?

We combine testing, reconciliation and phased delivery to support a safer move.

Reduced parallel-run complexity

Running legacy and new systems in parallel driving complexity and cost?

We optimise cutover planning to shorten the period of parallel operation.

Reduced legacy dependency

Limited availability of legacy specialists slowing transformation down?

We help insurers move away from ageing systems and reduce legacy dependency.

Deep expertise in insurance data models and processes
Proven migration experience across multiple insurance platforms
Structured migration governance reducing delivery risk
Automated reconciliation ensuring data accuracy
Strong collaboration across data, DevOps, QA and core system teams
Pragmatic delivery model focused on long‑term TCO

Data governance and migration outcomes

See how insurers modernise data warehouses with audit-ready governance—so reporting is trusted, cloud programmes move faster, and teams stop working around data issues.

Smooth ClaimCenter upgrade, trusted data maintained

Upgrading ClaimCenter while rebuilding data flows to protect data accuracy, reconciliation, and reporting continuity.

Guidewire Cloud data warehouse rebuilt on Databricks

A redesigned CDA-to-EDW pipeline with Medallion architecture and automated validation - restoring trusted reporting and data quality.

Faster analytics from Guidewire Cloud with Snowflake

Simplified transformations, stronger validation, and production-grade orchestration—so the warehouse stays accurate and easy to run.

Plan your migration with a clear approach, realistic scope and fewer surprises

What you get:

• Analysis of legacy data models and system dependencies

• Migration architecture and tooling

• Evaluation of migration approaches

• Migration cost and feasibility assessment

• Migration roadmap development

Business impact:

• Lower migration risk from day one

• Clear scope, effort and delivery path

• Better decisions on tooling and target architecture

• Fewer delays and costly rework later in the programme

Move data from legacy systems into target platforms in a controlled, scalable way

What you get:

• Extraction from legacy policy, claims and billing systems

• Mapping and transformation rules

• Data cleansing and enrichment

• Automated loading into target core systems

• Migration performance optimisation

Business impact:

• Higher data quality in the target environment

• Faster, repeatable migration cycles

• Reduced manual effort and error rates

• Smoother transition to new core systems

Validate migrated data thoroughly before cutover and support a safer go-live

What you get:

• End-to-end migration testing

• Automated reconciliation processes

• Validation of migrated business data

• Cutover preparation and hypercare support

Business impact:

• Greater confidence in migrated data

• Early detection of gaps, mismatches and defects

• Safer cutover with less business disruption

• Faster issue resolution after go-live

Align target systems to support efficient migration and faster go‑live

What you get:

• Review of target data model readiness for migration
• Identification of required simplifications and adjustments
• Alignment of target configurations with migration approach
• Support for migration‑friendly target design decisions

Business impact:

• Reduced migration complexity and effort
• Faster preparation for production migration
• Improved data quality and consistency in target systems
• More predictable and controlled delivery