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Название: Building a Data Culture: The Usage and Flow Data Culture Model
Автор: Gary W. Griffin, David Holcomb
Издательство: Apress
Год: 2023
Страниц: 235
Язык: английский
Формат: pdf
Размер: 25.0 MB
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 businesses 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 culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. 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.
Автор: Gary W. Griffin, David Holcomb
Издательство: Apress
Год: 2023
Страниц: 235
Язык: английский
Формат: pdf
Размер: 25.0 MB
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 businesses 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 culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. 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.