InsOps prepares your legacy policy data in the format Guidewire’s Policy Migration Tool expects, so the whole book can load in one run instead of waiting on batches, renewals or requests.
The Problem
A Big-Bang Load Puts the Whole Book on One Deadline
A big-bang migration moves every policy at once. Everything that can go wrong has to be found before the cutover date, not after it
Everything Must Be Ready on One Date
Guidewire notes that Big Bang migration requires cleansing all historical and in-force data upfront, with extra iterations increasing costs and delays and making cutover dependent on the slowest data set.
Legacy Structures Are Undocumented
Without data dictionaries, engineers must analyze legacy code and tables to interpret fields before defining migration transformations.
Errors Surface After the Load Runs
Guidewire’s Policy Migration Tool rejects and logs invalid records for correction and reprocessing, with late errors consuming more cutover time.
The Solution
How does InsOps Help?
How Yazh (Yaal) Moves Submissions Into PolicyCenter
Ingest From Every Source
GenCruise extracts 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 PolicyCenter’s Format
GenGrate maps, translates and transforms your data into the format Guidewire’s Policy 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 Guidewire’s Tools
Migration-ready data loads into Guidewire’s PMT_IN database, and Guidewire’s Data Upload Tool and Policy Migration Tool carry it into PolicyCenter.
Rejected Records Come Back
Records PolicyCenter rejects are logged and returned for correction, then reprocessed until every policy has loaded. Migrated policies appear in PolicyCenter for review.
FAQ