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How would you measure the ROI of a data analytics platform?

Source: montecarlo.aiadvanced

This tests your ability to connect platform metrics to business value. A good answer defines KPIs for adoption, performance, and cost, then links them to business impact.

This tests your ability to think like a business leader and translate technical metrics into tangible ROI. A strong answer outlines a framework with four tiers of KPIs: 1) Adoption/Usage, 2) Performance/Reliability, 3) Operational Cost, and 4) Business Impact. To track this, you need systems to ingest metadata and logs from across the data stack. The biggest red flag is giving only technical metrics (e.g., query speed) without explaining how to connect them to business value.

Read the original → montecarlo.ai

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How would you measure the ROI of a data analytics platform? · Tezvyn