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From DevOps to DataOps

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Nationwide Building Society describes how it turns raw data into governed, production-ready products: a 35-minute run through a 400-person data organisation supporting 17 million members and ~15,000 colleagues, with master data management, data lakes/warehouses/marts and mainstream BI plus specialized analytics tools. Concrete claims include using statistical process control for drift and bias detection, orchestration of data pipelines as a “data factory,” and examples of ML models uncovered unexpected customer behaviors and measurable business outcomes.

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