Stop trying to engineer data culture

Source: CIO Magazine

Organizations have invested heavily in data and AI, aiming for enhanced decision-making and insights. However, despite these efforts, many data initiatives fall short because the underlying problem lies in how data is utilized in everyday decisions. Executives increasingly see data culture as vital for successfully becoming data-driven. But instead of trying to engineer this culture, leaders should focus on the organizational context that shapes behaviors around data use.

The concept of data culture can be defined as the recurring practices through which an organization uses data, analytics, and AI to generate business value. It emerges from practical experiences rather than being something leaders can design or impose. By focusing on uncovering the barriers that prevent effective data use, leaders can create interventions that encourage employees to use data meaningfully. This approach not only improves the organization’s ability to leverage data but also fosters a culture that supports and enhances data governance processes, creating a beneficial feedback loop for sustainable transformation.

👉 Pročitaj original: CIO Magazine