Power BI Readiness Assessment 📊
Evaluate your organization's analytics maturity across 5 key dimensions and receive a personalized improvement roadmap.
⏱ 3 min 📝 15 questions 🎯 5 categories
How consistent is your data quality?
Governed with validation rules, master data management Mostly clean but occasional duplicates / inconsistencies Frequent data quality issues; no formal governance
How automated are your data pipelines?
Fully automated ETL/ELT with scheduled refreshes Some automation, but manual steps remain Mostly manual data preparation (copy-paste, email)
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Do you use any predictive or advanced analytics?
Yes — forecasting, clustering, or ML models in production Exploring / piloting advanced analytics No predictive capabilities; descriptive only
How are KPIs and metrics defined in your organization?
Standardized metric definitions with a shared data dictionary Some shared definitions but teams interpret differently No formal definitions; everyone calculates their own
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Who currently builds reports and analyses?
Dedicated data/BI team or analytics engineers IT team handles it alongside other responsibilities Individual departments build their own in Excel
Is there executive sponsorship for analytics initiatives?
Yes — C-level champion with dedicated budget Partial — management is interested but no formal commitment No — analytics is not a strategic priority
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Do you have a data governance policy?
Yes — documented policies for data ownership, retention, and privacy Informal practices but nothing documented No governance framework at all
How do you handle compliance requirements (GDPR, HIPAA, SOC 2)?
Fully compliant with automated enforcement Partially addressed; working toward compliance Not addressed or unsure of requirements
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How quickly can you answer business questions with data?
Minutes — self-service dashboards available to stakeholders Hours to days — need to request reports from analysts Days to weeks — custom analysis required for each question
Do departments collaborate on shared data models?
Yes — unified data model used across the organization Some cross-team sharing, but mostly isolated Completely siloed — each team has its own data
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Your BI Readiness Report Based on your 15 responses across 5 categories
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0 / 45
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