Case Study

Bank Increases Trust, Reduces Risk and Solves the Laborious DQ Problems Automatically with AI/ML

Bank Increases Trust, Reduces Risk and Solves the Laborious DQ Problems Automatically with AI/ML

Pages 1 Pages

FirstEigen's DataBuck helped a Global 1000 financial services organization track and validate over 2200 credit risk data segments from 26 systems moving to an AWS S3 data lake after normalization and transformation. It ensured real-time validation as data ingested, supporting accurate regulatory reporting by country, product type, and risk code. DataBuck boosted productivity >80%, reduced unexpected errors 70%, cut costs >50%, shortened onboarding ~90%, and accelerated processing >10x with cloud-native capabilities.

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