Название: Data Analytics and Digital TransformationАвтор: Erik Beulen, Marla A. Dans
Издательство: Routledge
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Volumes of data are growing at an unprecedented speed, driven by the Internet of Things (IoT) and unstructured data (e.g. social media content), as well as additional data generated by transforming into digital organizations. This feeds back into data analytics as well as Data Science, requiring even more mature data management and governance to achieve enriched insights. In addition, the need to collaborate and share data is becoming an integral part of digital transformations. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. In addition, a deep dive into privacy and ethics will be included.
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