Operational KPIs for Data and AI
Metrics that indicate reliability, quality, and impact
Track these KPIs to ensure your data and AI systems are reliable, trusted, and delivering value.
Data Platform KPIs
- Pipeline success rate
- Data freshness SLA adherence
- Data quality pass rate
- Cost per data product
Analytics and Data Product KPIs
- KPI accuracy variance vs. source systems
- Adoption rate by business users
- Time to insight for priority workflows
- Reuse rate of curated datasets
AI and MLOps KPIs
- Model performance by segment
- Model drift detection frequency
- Model retraining cadence
- Time from training to production release
CTA
Ready to move from strategy to measurable impact?