S&P Global built a Data Lakehouse for FinOps analysis with Dremio Cloud on Microsoft Azure

Simplified architecture with direct connections to Azure data lake

Enhanced performance and reduced costs by eliminating multiple data copies

Single source of truth enabled better data governance and faster report refresh

The Business:

S&P Global is a leading global financial services company headquartered in New York. As a company, data is an essential asset across all of S&P Global’s solutions offerings. S&P serves the instrumental functions of the world’s largest and most complex industries. They power global markets in every corner of the economy, building networks and connections.

The Results:

S&P Global achieved several benefits with Dremio, including simplified data access, improved query performance, reduced infrastructure costs, and streamlined data governance. By leveraging Dremio's semantic layer, they enhanced data accessibility and user experience. The transition led to significant cost savings, with a 50% reduction in infrastructure costs by eliminating inefficient architecture choices like Cosmos DB. Additionally, Dremio facilitated centralized IT data management, faster report refresh rates, enhanced access control, and cost allocation to divisions. Future plans involve leveraging advanced analytics applications and implementing Git for Data to manage data changes effectively.

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