Clean policyholder data
Deduplicate and standardize policy, claims and customer master data across underwriting systems.
Industries · Insurance
SAP policy data for insurers: clean enough to report under IFRS 17
Underwriting, claims and actuarial reporting all depend on the same policyholder data, and IFRS 17 and M&A both surface the same gaps.
- Focus
- Policy & claims data
- Also for
- IFRS 17 reporting
The problem
Underwriting is only as good as the data behind it
Policy, claims and actuarial data has to be accurate for underwriting decisions and for IFRS 17 reporting. When policyholder data is duplicated or scattered across systems acquired through M&A, both suffer.
Test environments compound it. Claims and underwriting testing needs realistic policyholder data — exactly what shouldn't sit unmasked in a test system.
Where we help
SAP policy data solutions for insurance
Masked test data
Provision claims and underwriting test systems with production-like data, PII masked.
Post-merger consolidation
Consolidate company codes and controlling areas after acquiring a book of business.
Cross-system validation
Compare data between policy admin, claims and SAP before you report on it.
Benefits
What you get
Masked policyholder data
Production-like test data for claims and underwriting, without exposing real policyholders.
Consistent data for IFRS 17
Policy, claims and actuarial data that agrees across the systems feeding the report.
Clean data after M&A
Company code and controlling area structures consolidated without breaking reporting.
A clean landing in SAP S/4HANA
Policy and finance data migrated with history intact.
Other industries
Where else we work
Our Partners
Next step
Talk to the people who build the tools
Bring your insurance data problem to the people who build the tools.