Reducing Platform Costs by up to 64%

Business Context

A data platform environment had growing infrastructure and processing costs. Cost visibility, workload efficiency, and governance were becoming increasingly important.

Platform Bottleneck

The bottleneck was infrastructure economics. Costs reflected workload design, utilization patterns, governance, and maturity.

Actions Taken

• Reviewed workload patterns and cost drivers.
• Evaluated platform utilization and waste.
• Improved governance around data processing and infrastructure usage.
• Framed cost optimization as an engineering maturity issue, not just a finance issue.

Results

• Reduced platform costs by up to 64% in the relevant environment.
• Improved cost efficiency while preserving platform capability.
• Created stronger awareness of infrastructure economics as a platform discipline.

Why This Matters

If your cloud spend is increasing, Databricks or data processing costs are difficult to explain, or engineering teams lack cost ownership — this is the kind of problem PRISM is designed to address.