Focus fields for data culture analysis
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    Focus fields for data culture analysis

    Data Culture
    Data Strategy
    Data Leadership
    Data Governance
    AI

    Your data & AI initiatives are struggling, but you can't pinpoint why?

    Many leaders blame “bad culture”. That is a misconception. Unlike data governance, data culture is not a prerequisite for value creation with data and AI. It is an effect, not a cause. Culture works like a sensor: it reveals the real, often hidden barriers.

    But where should this sensor point to?

    These six fields help you structure your analysis. They surface cultural patterns and highlight what truly blocks value creation with data, analytics, and AI.

    1. Data Awareness: Leaders and employees understand both the opportunities and limitations of data-driven value creation
    2. Data Leadership: Leaders actively demand and champion data-informed ways of working — where they add value
    3. Data Literacy: All members of the organization possess the relevant interdisciplinary competencies to use data in a value-creating way
    4. Insight-Based Way of Working: Everyone in the organization is willing to explore and exploit data’s potential for value creation
    5. Collaborative Way of Working: Data and insights are shared willingly and proactively across boundaries
    6. Data Availability: Users can access the data relevant to them — easily, securely, and in time

    Which of these 6 is your weakest link?

    If you're not sure where the real blockers are, I help leaders diagnose them. Send me a DM, or check out my latest publications on CIO Online and Towards Data Science in the Publications section of my profile.