Building A Data Culture - Gary W. Griffin - Bog

259,95 kr   + 29,95 kr   
In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational mindset. With an emphasis on the criticality of data governance as a strategic program for building a data culture, you'll explore the five major components of a data governance program (strategy, people, processes, policies, and technology). All of these provide practical guidance and best practices to establish robust governance frameworks. You'll learn how to align data governance efforts with organizational objectives and drive data-driven decision-making at all levels. You'll also review strategies to enhance data awareness, encourage data-driven collaboration, and provide individuals with the skills to extract meaningful insights from data. Developing a worthy data culture necessitates a shift in mindset and the development of relevant skills across the organization. Building a Data Culture is your roadmap to fostering data literacy, promoting data-driven decision-making, and cultivating a data-driven mindset. What You'll Learn Assess your organization's current data culture Identify cultural strengths and weaknesses within your organization Develop a data governance program Define data policies and standards and establish decision-making processes Who This Book is For Professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise. ...
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