Scaling Self-Service Analytics in Regulated Banking With Metadata-Driven Design

About this episode

    This story was originally published on HackerNoon at: <a href="https://hackernoon.com/scaling-self-service-analytics-in-regulated-banking-with-metadata-driven-design">https://hackernoon.com/scaling-self-service-analytics-in-regulated-banking-with-metadata-driven-design</a>.
        <br> Scaling self-serve analytics in regulated banking is hard. Learn how metadata-driven design enforces governance while letting teams explore data safely <br>
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            Self-service analytics in banking is not primarily a technology challenge. It's a governance challenge. This article explores the design of a metadata-driven analytics platform on GCP that enabled business teams to access trusted financial data without creating new silos. Key lessons include treating lineage as a first-class feature, using semantic layers to enforce consistent business logic, and prioritizing auditability over raw performance in regulated environments.
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