Data Maturity Assessment
Simple questions guage the data maturity level of an organization
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Data Strategy: To what extent is your data strategy clearly defined and aligned with business goals?
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Data Governance: How well are data ownership, stewardship, and accountability defined in your organization?
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Data Quality: How confident are you in the accuracy, completeness, and consistency of your data across systems?
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Data Architecture: How easily can business users access the data they need without relying heavily on technical teams?
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Infrastructure and Operations: How effective is your current data infrastructure (e.g., data warehouse, lake, pipelines) in supporting analytics?
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Analytics: How mature are your analytics capabilities (e.g., moving from descriptive to predictive analytics)?
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Data Driven Decision Making: To what extent is data used to drive decision-making across departments and leadership?
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Data Literacy and Reporting: How capable are your teams in working with data tools and interpreting data insights?
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Data Management: How standardized and repeatable are your data collection, cleaning, and transformation processes?
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Data Protection and Security: How effectively does your organization manage data privacy, protection, and regulatory compliance (e.g. GDPR)?
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