FirstEigen’s DataBuck helped a Fortune 100 networking equipment manufacturer reduce financial reporting risk and the cost of validating a large financial data warehouse during migration from Teradata to Postgres and Snowflake. By using AI/ML-powered automated data quality checks across 4,000+ tables and billions of records, DataBuck eliminated manual, tedious comparisons and ensured data was transferred accurately. As a cloud-native platform, it boosted people productivity by over 80%, cut unexpected errors by 70%, reduced costs by more than 50%, and accelerated onboarding and processing speeds.

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