Assess your data and analytics maturity across six dimensions. Identify gaps, understand your AI readiness, and discover where to focus your improvement efforts.
The Data Readiness Assessment evaluates how well your data foundation supports reliable analytics and AI. Answer 18 questions across six dimensions to identify maturity gaps, assess AI readiness, and understand where to focus your improvement efforts first.
Where completeness, validity and traceability hold up, and where they break.
Scale, cost and fit to target workloads, measured before any re-platform debate.
Ready now, ready after fixes, or not yet, and the gap to close first.
Sequenced steps built from your two weakest dimensions.
It scores six domains, three questions each. Four cover the data foundation: policies and ownership, data quality, security and access, and compliance and risk. Two cover what runs on top of it: AI governance and agentic governance. AI and agents can only be governed as well as the data underneath them, so the assessment scores all six together.
Assess data sources, integrations, latency, and ownership.
Evaluate completeness, validity, consistency, and timeliness.
Review data models, semantic layers, and reuse.
Assess scalability, cost, security, and workload fit.
Who uses what, how often, and self-service versus IT-built.
Evaluate ownership, lineage, access, standards, and delivery.
AI readiness is not a seventh box. It is a lens read across all six, because AI fails at the data layer long before it fails at the model.
Data Readiness Assessment
AI is only as good as the data it stands on. Check yours across ownership, quality, platform and context. Your level is limited by your weakest area, so answer honestly.
This check scores your data estate as a whole. A Polestar Data Readiness Assessment profiles the actual data behind your priority AI use cases.
AI agents gather and analyze evidence across six dimensions. Polestar architects validate findings at every stage before scores are finalized.
Read-only connectors, access plan and interview schedule
Sources, pipelines and reports inventoried; priority tables profiled
SQL, ETL, dbt and BW code read; query and BI logs mined
Evidence-cited scores, calibrated against the Polestar rubric
Target-state options and a costed, sequenced roadmap
FAQ
Still unsure? Talk to our data team.
Talk to our teamThe assessment takes about 10 minutes. It includes 18 questions across six dimensions, with three questions per dimension.
Yes. You can view your overall readiness level immediately without filling out a form. A work email is required to access the detailed report, including dimension scores, AI-readiness insights, key gaps, and recommended next steps.
Each answer is scored on a five-point scale. Your responses determine scores across six dimensions, which contribute to your overall maturity level: Ad Hoc, Reactive, Defined, Managed, or Optimized.
Your responses are scored in your browser and are sent to Polestar Analytics only if you submit the form to receive the detailed report.
The self-assessment provides an initial view of your data readiness based on your responses. The full assessment uses AI-assisted analysis of data sources, quality, code, and usage patterns, with Polestar architects validating findings. It is available as a rapid 10-day or full four-week engagement.
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