InsOps ingests your legacy claims, protects sensitive data, maps it to Guidewire’s migration format, and returns rejected claims for correction until every claim has loaded.
The Problem
A Single Cutover Leaves No Room for Dirty Data
A big-bang migration moves the whole claims book in one phase. Everything that is wrong with the legacy data has to be found and fixed before that phase starts.
All Data Must Be Clean Before the Cutover
Guidewire warns that Big Bang migrations risk delays and added costs due to poor legacy data requiring extra cleansing cycles.
Rejected Claims Mean Rework
Claims with data integrity issues, formatting errors or in-progress financial transactions are rejected and logged. Someone has to analyze, correct and reprocess each one.
Legacy Data Is Hard to Read
Decades of claims data hold undocumented structures and dependencies. Understanding them by hand delays the migration before any data moves.
The Solution
How does InsOps Help?
InsOps Carries Your Claims From Legacy Source to ClaimCenter
Ingest from your legacy sources
GenCruise, our ETL-free cloud ingestion solution, extracts data from your source systems.
Find and protect sensitive data
GenAnonymize scans for personal, payment card and insurance-specific sensitive data and applies anonymization.
Map to Guidewire’s claim format
GenGrate maps, translates and transforms your data into the format Guidewire’s Claim Migration Tool expects. LiLa suggests the mapping, and a person confirms it.
Load through Guidewire’s tools
Migration-ready data goes into your PMT_IN database. Guidewire’s Data Upload Tool transfers it, and Guidewire’s Claim Migration Tool loads it into ClaimCenter.
Rejected claims come back for correction
Rejected claims are logged in PMT_OUT and returned to your PMT_OUT database for analysis and correction.
Reprocess and review in ClaimCenter
Corrected claims are reprocessed until every claim has loaded, and migrated claims are available in ClaimCenter for validation and review.
FAQ