The Challenge
For a specialty insurer operating across multiple complex lines of business, underwriting decisions, claims settlement, and executive reporting all depend on a single, reconciled view of transactions across every system of record. The existing platform could not deliver this.
Ingestion processes varied by source, with inconsistent sync timing producing data integrity issues that flowed through to reporting. Complex, bespoke SQL transformations attempted to compensate for the lack of a unified data model but only introduced fragility, rather than fixing the underlying architecture. The data infrastructure was not designed to scale; adding new data elements or modifying ingestion for reporting changes was high-effort and high-risk.
Foundational data capabilities were absent entirely. There was no proper data model for Data Marts, no data quality framework, and no data lineage or end-to-end reconciliation. For an insurer where data accuracy directly governs underwriting and claims outcomes, these were not gaps that could be deferred.
