Free tool · 3 minutes
How mature is your data platform?
Rate 12 statements across six areas. You get a score, a breakdown by area and where to start. Your answers stay in your browser.
Your result
/100 ·
- Platform & architecture
- Legacy footprint
- Data quality & governance
- Cost control
- AI readiness
- Operations & reliability
Where to start: platform & architecture
Data platform engineering
Databricks, Snowflake and Fabric built to production standards.
Where to start: legacy footprint
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation.
Where to start: data quality & governance
Data quality & governance
Contracts, lineage and access control that auditors accept.
Where to start: cost control
Cloud data cost optimization
Find and remove the spend your workloads don't need.
Where to start: ai readiness
AI-ready data
Governed, retrievable data for GenAI, RAG and agents.
Where to start: operations & reliability
Managed data platform
We run it, with SLAs, after we build it.
Frequently asked questions
How is the score calculated?
Each statement scores 0 to 3. Each area is the share of its maximum, and the overall score is the average across the six areas. The lowest-scoring area is where we suggest starting.
Do you store my answers?
No. The scorecard runs in your browser and your answers are not sent to Metric Oak or anyone else.
How accurate is a self-assessment?
It is a quick, directional view. A Data Platform Assessment checks the same areas against your actual architecture, pipelines and bills, and ends with a priced roadmap.
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