This guide provides a structured, hands-on approach to assessing and reducing data entropy—the growing disorder in data systems that increases costs and limits decision-making. It helps organizations evaluate their current data landscape through diagnostics that identify duplication, lack of ownership, inefficient processes, and inconsistent reporting. The workbook then quantifies the impact of these issues by calculating storage waste, productivity loss, and missed business opportunities, making data challenges measurable and actionable. It also includes a capability gap analysis across lifecycle management, standardization, transparency, and collaboration to highlight critical weaknesses. By combining assessment, cost analysis, and clear next steps, the guide enables organizations to mov

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