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AssessmentBeginner10 min read
Data Maturity Assessment: The Complete Checklist
A comprehensive checklist to evaluate your organization's data maturity across 6 critical dimensions.
What you'll learn
The 60+ questions to ask when assessing data maturity
A 5-level maturity scoring model (Initial to Optimized)
How to score each dimension independently
How to identify gaps and map them to initiatives
How to visualize results with a maturity radar chart
Quick-start initiative recommendations per maturity level
The 6 dimensions assessed
Data Strategy & Vision — strategic alignment, executive sponsorship, funding
Data Governance — policies, roles, compliance, standards
Data Quality — accuracy, completeness, monitoring, remediation
Data Architecture — infrastructure, integration, scalability
Analytics & BI — reporting, self-service, data literacy
AI & Advanced Analytics — ML capabilities, MLOps, ethical AI
How to run the assessment
Step 1: Gather 3-5 stakeholders from different functions
Step 2: Answer each question honestly using the scoring rubric
Step 3: Calculate your score per dimension and overall maturity level
Step 4: Identify top 3 gaps and map them to recommended initiatives
Do your assessment in 30 minutes — not 30 days
Fygurs' automated maturity assessment covers all 6 dimensions with guided questions, automated scoring, industry benchmarks, and AI-powered initiative recommendations. No spreadsheets required.
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