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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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Not Aligned
Slightly Aligned
Aligned
Well Aligned
Extemely Aligned
Data Governance:
How well are data ownership, stewardship, and accountability defined in your organization?
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Not Defined
Slightly Defined
Defined
Well Defined
Extremely Defined
Data Quality:
How confident are you in the accuracy, completeness, and consistency of your data across systems?
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Not Confident
Slightly Confident
Confident
Very Confident
Extremely Confident
Data Architecture:
How easily can business users access the data they need without relying heavily on technical teams?
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Not Easily
Somewhat Easily
Easily
Very Easily
Extremely Easily
Infrastructure and Operations:
How effective is your current data infrastructure (e.g., data warehouse, lake, pipelines) in supporting analytics?
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Not Effective
Somewhat Effective
Effective
Very Effective
Extremely Effective
Analytics:
How mature are your analytics capabilities (e.g., moving from descriptive to predictive analytics)?
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None
Descriptive
Diagnostic
Predictive
Prescriptive
Data Driven Decision Making:
To what extent is data used to drive decision-making across departments and leadership?
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Not at all
Slightly
Moderately
Mostly
Always
Data Literacy and Reporting:
How capable are your teams in working with data tools and interpreting data insights?
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Not Capable
Somewhat Capable
Capable
Very Capable
Extremely Capable
Data Management:
How standardized and repeatable are your data collection, cleaning, and transformation processes?
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Not Standardized
Somewhat Standardized
Standardized
Very Standardized
Extremely Standardized
Data Protection and Security:
How effectively does your organization manage data privacy, protection, and regulatory compliance (e.g. GDPR)?
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Not Effectively
Somewhat Effectively
Effectively
Very Effectively
Extremely Effectively
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