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Automating Financial and Production Data Reconciliation for a U.S. Property Insurer

Automated Data Reconciliation for U.S. Insurer Case Study

Customer Profile

A major U.S. property insurer managing 600 to 800 data interfaces and pipelines across Oracle, Oracle PeopleSoft, Guidewire, and AWS.

Business Challenges

  • Validation took 90 to 120 minutes per segment, relied on manual execution, and covered only seven lines of business.
  • Prior checks missed data type, database definition, substring, and source-to-target issues that surfaced downstream.
  • Fragmented scripts and manual queries across 60 tables made reuse difficult and could not scale with growing data volumes.

How We Solved It

  • Automated interface balancing and financial reconciliation across all critical systems using ETL Validator.
  • Deployed a reusable validation framework with table-level workflows, replacing manual comparisons and custom scripts.
  • Extended automated validation beyond QA into live production reconciliation and financial balancing controls.

Outcomes Delivered

  • ~10x faster validation execution, from 90 to 120 minutes down to 5 to 10 minutes per segment.
  • More than 2x expansion in line-of-business coverage, from 7 to 15.
  • 60 table workflows built in approximately 3 days, with multiple previously undetected defects identified.

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