Technical & Organizational Factors That Determine Your Data-Driven Capabilities
Maturity isn't one-dimensional. Organizations must develop across multiple dimensions simultaneously to achieve true data-driven success. The Scanraven model defines ten dimensions—five technical and five organizational—that together provide a holistic view of data maturity.
Unlike most models that focus narrowly on analytical capabilities or technology sophistication, the Scanraven framework recognizes that technology alone doesn't create data-driven organizations. Culture, leadership, and strategy are equally important.
The ten-dimension structure emerged from systematic literature review and validation with practitioners. Research consistently shows that organizations struggle when they over-invest in technology while under-investing in organizational factors. The balanced framework addresses this by giving equal weight to both:
5 Technical Dimensions
Data, Metrics, Skills, Technology, and Integration
5 Organizational Dimensions
Leadership, Culture, Strategy, Agility, and Empowerment
What distinguishes the Scanraven model is the inclusion of Integration and Empowerment—dimensions absent from most traditional frameworks. Integration addresses the critical gap between insight and action. Empowerment recognizes that sustainable competitive advantage comes not from having analytics tools, but from distributing analytical capabilities organization-wide.
"True data maturity means moving from 'having analytics' to 'being analytical.' It's the difference between a company with a data science team and a company where everyone thinks analytically."
These dimensions assess your analytical infrastructure—the data, tools, skills, and processes that enable insight generation and action.
Data is the fuel for all data-driven activities. This dimension assesses how you source, store, manage, and govern your data assets.
Metrics measure output and performance. This dimension assesses how you define, collect, and use performance indicators to drive decision-making.
The analytical skills your people possess. This dimension assesses both specialized analytical capabilities and general data literacy across the organization.
Technology is the catalyst for data-driven activities. This dimension assesses the infrastructure, platforms, and tools that enable your analytics capabilities.
Integration determines how analytical insight flows back into action. This dimension assesses how effectively you translate insight into business impact.
These dimensions assess your organizational context—the leadership, culture, strategy, and practices that enable analytical transformation.
Leadership provides direction and resources for analytics. This dimension assesses executive sponsorship, vision, and commitment to data-driven transformation.
Culture determines adoption and acceptance. This dimension assesses organizational attitudes, behaviors, and mindsets toward data-driven decision-making.
Strategy aligns analytics with business objectives. This dimension assesses how data initiatives connect to organizational goals and priorities.
Agility enables execution and adaptation. This dimension assesses processes, roles, and decision rights that bring strategy to life.
Empowerment distributes analytical capabilities. This dimension assesses how you enable all employees to leverage data, tools, and insights in their work.
Understanding your strengths and gaps across all ten dimensions provides the foundation for strategic planning. Take our free assessment to receive a comprehensive profile of your organization's data maturity.
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