Automated Regulatory Reporting for a Mid-Size Insurer Built on Informatica

"The time savings mattered, but what actually changed how we sleep at night is the lineage. When an examiner asks where a number came from, we can show them, immediately, rather than reconstructing it after the fact."

- Chief Compliance Officer, Mid-Size Property & Casualty Insurer

Every quarter, our compliance team spent close to three weeks pulling data from six different source systems, reconciling it by hand, and building the regulatory reports our examiners required. It was slow, and worse, it was fragile. One person on the team understood the full process end to end, and every quarter felt like it depended on that one person being available.

What worried our compliance leadership most was not the time it took, it was that we could not always explain, with full confidence, exactly where a number in a report had come from if a regulator asked.

Quarterly regulatory reporting required manually pulling and reconciling data from six disconnected source systems, a process that consumed roughly three weeks of the compliance team's time every quarter and depended heavily on the institutional knowledge of a small number of staff. The process lacked clear, auditable data lineage, meaning the compliance team could not always trace a specific figure in a report back to its originating source system with full confidence if a regulator asked for justification.

Automating the reporting workflow only mattered if the underlying data lineage was trustworthy enough for the compliance team to actually rely on it during an examination, so we treated lineage documentation as a first-class requirement from the start rather than an afterthought layered on top of the automation. Validation rules were built to flag discrepancies before submission, not just to log them for later review.

We implemented Informatica's data integration and governance platform to automate the data collection and reconciliation process feeding the insurer's regulatory reports. Every data element now carries a documented lineage back to its source system, with automated validation rules flagging discrepancies before they reach a final report rather than after. The reporting workflow itself was redesigned so the compliance team reviews and approves automatically assembled reports, rather than manually building them from scratch each quarter.

Quarterly regulatory report preparation time fell from roughly three weeks to 4 days, with the process no longer dependent on any single team member's institutional knowledge. Every figure in every report now carries full, auditable data lineage back to its source, which the compliance team has since used successfully during two separate regulatory examinations. Automated validation rules have caught data discrepancies before report submission on multiple occasions, discrepancies that would previously have gone unnoticed until an examiner questioned them.

Is this familiar?

Informatica challenges in BFSI - what we see most often

Regulatory reporting in insurance and financial services carries a burden most reporting processes do not: it is not enough for the numbers to be correct, the institution has to be able to prove where every number came from, on demand, during an examination.

Celumai builds Informatica-based regulatory reporting automation for BFSI organizations where data lineage is treated as a core requirement of the project, not a nice-to-have layered on afterward. Automated validation that flags discrepancies before submission, rather than after an examiner finds them, is usually what turns a faster process into a genuinely safer one.

If your regulatory reporting depends on a small number of people manually reconciling data from multiple systems every quarter, the risk is not just the time it takes, it is the single point of failure that process represents. Automating the data lineage first is usually the more durable fix.

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