Data Maturity Assessment Tool

An evaluation based on 7N's Data Intelligence Transformation Framework

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Instructions

The assessment consists of 25 questions across five dimensions.
Please score each question based on the description that best fits your organization.

Once you have completed the questions and submitted your answers, you will receive a full report with scores and recommendations by email within the next business day.

Dimension 1: Leadership's Understanding og Data Complexity

To what extent does senior leadership understand the technical complexity of your organization's data landscape?
How well does leadership appreciate the time and resources required for data transformation initiatives?
To what degree does leadership recognize data as a strategic asset rather than just an operational necessity?
How effectively does leadership communicate data priorities and vision across the organization?
To what extent does leadership demonstrate commitment through budget allocation and resource dedication to data initiatives?

Dimension 2: Organizational Appetite for Foundational Work

How willing is your organization to invest in data infrastructure and foundational capabilities that may not show immediate ROI?
To what degree does your organization prioritize data quality and governance initiatives over quick-win analytics projects?
How tolerant is your organization of the temporary disruption that comes with implementing proper data management practices?
To what extent does your organization invest in data literacy and skills development across teams?
How committed is your organization to standardizing data practices and tools, even when it requires teams to change existing workflows?

Dimension 3: Current Process Documentation and Ownership

To what extent are your data processes formally documented and maintained?
How clearly defined are data ownership and stewardship roles across your organization?
To what degree are data lineage and dependencies documented and understood?
How well-established are your data quality monitoring and issue resolution processes?
To what extent are data access and security policies documented and consistently enforced?

Dimension 4: Technical Debt and Integration Readiness

How would you assess the current state of technical debt in your data systems and infrastructure?
To what extent can your current systems easily integrate with new data sources and technologies?
How scalable is your current data architecture to handle growing data volumes and complexity?
To what degree do you have automated data pipelines and reduced manual data processing?
How effectively does your technology stack support real-time or near-real-time data processing requirements?

Dimension 5: Position Relative to Competitors

How does your organization's data analytics capabilities compare to industry leaders in your sector?
To what extent does your organization leverage advanced analytics and AI/ML compared to industry benchmarks?
How does your data governance maturity compare to recognized industry frameworks and best practices?
To what degree does your organization's data culture and literacy match or exceed industry expectations?
How does your data monetization and value creation compare to industry benchmarks?