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Success story.

Centralized Credit Data Lake

A financial institution was managing credit histories in legacy systems and in the cloud, making risk assessment difficult and delaying loan approvals.

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We take on any challenge

At Zenta there are no obstacles we cannot overcome.

  • Challenge

    Consolidate credit data from multiple sources into a single secure, governance- and audit-enabled platform to accelerate underwriting decisions.

  • Solution

    We designed a Data Lake in BigQuery with ETL pipelines in Dataflow, ensuring full encryption and granular access policies with IAM and Data Loss Prevention, integrating real-time scoring.

Results from our management

  • 40% reduction in loan approval time.

  • +20% accuracy in predictive scoring.

  • 100% compliance with regulatory standards.