InsOps prepares legacy policy data in the format your new policy system's migration tool expects, so the full book loads in one run instead of in batches, renewals, or on request.
The Problem
A Big-Bang Load Puts the Whole Book on One Deadline
A big-bang migration moves every policy at once, so all potential issues must be found before cutover rather than after.
Everything Must Be Ready on One Date
All historical and in-force data must be cleansed up front. Extra iterations add cost and delay, and the slowest dataset sets the cutover timing.
Legacy Structures Are Undocumented
Without data dictionaries, engineers must study legacy code and tables to interpret fields before they can define transformations.
Errors Surface After the Load Runs
Migration tools reject and log invalid records for correction and reprocessing, and late-discovered errors consume more cutover time.
The Solution
How does InsOps Help?
How InsOps Carries Your Policy Book From Legacy to Your New System
Ingest From Every Source
GenCruise pulls policy data from multiple source systems without ETL pipelines.
Find and Protect Sensitive Data
GenAnonymize scans source data for personal, payment card and insurance-specific sensitive fields and anonymizes them.
Map to Your Target Format
GenGrate maps, translates and transforms data into the format your migration tool expects, with LiLa suggesting the mapping.
Validate Along the Way
Data is validated and reconciled during ingestion and transformation, so issues surface before the load.
Load Through Your Migration Tools
Migration-ready data is handed to your new system's migration tools for the final load.
Rejected Records Come Back
Records the new system rejects are logged and returned for correction, then reprocessed until every policy loads.
FAQ
What is a big-bang migration?
What happens to records the new system rejects?
Who confirms the mapping?