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Financial services · Snowflake

PayU GPO Creates a Unified, Data-Driven Culture with Snowflake’s AI Data Cloud

Public case study · not a Metric Oak engagement

faster data ingestion
83%
lower costs for selected data models
94%

What happened

The story in brief

A global payment service provider built largely through acquisitions had data spread across many systems. Consolidating on Snowflake created one governed data platform with broad self-service access, while sharply reducing the cost of selected data models.

How it compares

  • 94% lower costs for selected data models, against a median reported cost reduction of 60% across 19 financial services results.
See the full financial services benchmark

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  • Financial services · Snowflake

    Mercury

    1-3

    Minutes of data latency to Snowflake, down from 30-60+ minutes

  • Financial services · Snowflake

    NatWest

    80%

    reduction in total cost of ownership and carbon footprint

  • Financial services · Snowflake

    Parameta

    50%

    faster time to market

Related insights

Frequently asked questions

What results did PayU GPO report?

PayU GPO reported 83% faster data ingestion; 94% lower costs for selected data models, according to its customer story published by Snowflake.

Which platform and technologies did PayU GPO use?

PayU GPO used Snowflake, including Apache Spark, Snowpark, Cortex AI, Dynamic Tables, Secure Data Sharing, dbt.

How do these results compare with other financial services programs?

94% lower costs for selected data models, against a median reported cost reduction of 60% across 19 financial services results.

Source

Customer story published by Snowflake: PayU GPO Creates a Unified, Data-Driven Culture with Snowflake’s AI Data Cloud (opens snowflake.com in a new tab) on snowflake.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.

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