Analytics Maturity Assessment

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Job Title

Data Infrastructure

How would you rate your current data quality?

Poor - Lots of errors and inconsistencies Fair - Some quality issues Good - Generally reliable Excellent - High quality and consistent

Data Infrastructure

What percentage of your data collection is automated vs manual?

Mostly manual (0-25% automated) Some automation (25-50% automated) Mostly automated (50-75% automated) Fully automated (75-100% automated)

Data Infrastructure

How many different data sources does your organization use?

1-3 sources 4-10 sources 11-20 sources 20+ sources

Data Infrastructure

How often do you experience data inconsistencies or conflicts?

Very frequently (daily) Regularly (weekly) Occasionally (monthly) Rarely (quarterly or less)

Data Infrastructure

Do you have a centralized data warehouse or data lake?

No, data is scattered across systems Partially - some data is centralized Yes, but needs optimization Yes, fully centralized and optimized

Analytics Capabilities

How do you currently create reports and dashboards?

Manual Excel reports Basic BI tools with manual updates Automated BI tools with some self-service Advanced self-service analytics platform

Analytics Capabilities

How long does it take to generate your monthly reports?

More than 40 hours 20-40 hours 5-20 hours Less than 5 hours

Analytics Capabilities

What percentage of your business decisions are data-driven?

Less than 25% 25-50% 50-75% More than 75%

Analytics Capabilities

Do you use predictive analytics or forecasting models?

No, only historical reporting Basic trend analysis Some predictive models Advanced predictive analytics

Analytics Capabilities

How satisfied are you with your current report accuracy?

Very unsatisfied - frequent errors Somewhat unsatisfied Generally satisfied Very satisfied - high accuracy

Organizational Readiness

How many people on your team actively use analytics tools?

1-2 people 3-5 people 6-10 people More than 10 people

Organizational Readiness

What's your biggest analytics challenge?

Lack of time/resources Data quality issues Lack of skills/expertise Technology limitations

Organizational Readiness

How much do you spend annually on analytics (tools, staff, consulting)?

Less than $10K $10K - $50K $50K - $100K More than $100K

Organizational Readiness

Do you have dedicated analytics resources (in-house or contracted)?

No dedicated resources Part-time analytics support Full-time analytics person Analytics team or external partners

Organizational Readiness

What's your primary business goal for analytics improvement?

Reduce manual reporting time Improve decision-making speed Increase revenue/profitability Gain competitive advantage

What's Your Analytics Maturity Score?

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Data Infrastructure

Data Infrastructure

Data Infrastructure

Data Infrastructure

Data Infrastructure

Analytics Capabilities

Analytics Capabilities

Analytics Capabilities

Analytics Capabilities

Analytics Capabilities

Organizational Readiness

Organizational Readiness

Organizational Readiness

Organizational Readiness

Organizational Readiness

Analytics Foundation

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