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Snowflake × S&P Global Market Intelligence

Snowflake x S&P Global Market Intelligence, scaling ML pipelines while cutting cost and complexity

200M+ webpages mined for data to enhance risk assessment

Fragmented, costly pipelines to a unified, scalable ML environment

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Why it works

The case study leads with operational efficiency gains, processing millions of URLs in minutes and eliminating manual infrastructure management, which anchors it in Efficiency. A secondary Breakthrough thread runs through the story as S&P plans to double enterprise coverage and reach 100% of U.S. small businesses, a clear scale ceiling being lifted. The two named quotes from senior engineers ground the technical claims and add credibility without overstating results.

Steal this

Pair a concrete scale number (200M webpages, 5M enterprises) with a specific forward goal (double coverage, 100% of U.S. small businesses) so the reader understands both what was achieved and what becomes possible next.

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  • Vendor Snowflake
  • Customer S&P Global Market Intelligence
  • Industry Fintech / Payments
  • Trigger Data movement overhead, runtime performance issues, and infrastructure costs made the prior multi-tool approach unsustainable
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page