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Data governance is often approached as a broad and complex initiative, with the ambition to control all data across the organization. While well intentioned, this approach frequently leads to over-engineering, increased complexity, and limited business impact. The real challenge is not the absence of governance, but the lack of focus and alignment with business priorities . When governance is applied everywhere without distinction, it often becomes heavy, slow, and disconnect

Many organizations collect large volumes of data, yet struggle to convert it into tangible value. Instead of acting as a growth driver, data often remains an operational byproduct with limited business impact without clear and aligned data strategy . The core challenge is not the lack of data, but the lack of a value-driven perspective. Organizations tend to focus on what data they have, rather than how that data can create meaningful outcomes aligned with business priorities

Organizations continue to invest significantly in data, yet many still struggle to generate measurable outcomes. The challenge is rarely related to technology or talent. In most cases, the real issue is the absence of a clear and aligned data strategy. When data initiatives are driven locally, each function tends to define its own priorities, tools, and success metrics. While this may create short-term progress, it often leads to long-term inefficiencies. Over time, organizat