Verfasst von:	Beulen, Erik [VerfasserIn]
	Dans, Marla A. [VerfasserIn]
Titel:	Data analytics and digital transformation
Verf.angabe:	Erik Beulen and Marla A. Dans
Verlagsort:	London ; New York
Verlag:	Routledge Taylor & Francis Group
Jahr:	2024
Umfang:	xviii, 238 Seiten
Illustrationen:	Diagramme
Gesamttitel/Reihe:	Business and digital transformation
Fussnoten:	Includes bibliographical references and index
ISBN:	978-1-032-16024-5
	978-1-032-16022-1
Abstract:	"Understanding the significance of data analytics is paramount for digital transformation but in many organisations they are separate units without fully aligned goals. As organisations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role for 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 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. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organisations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organisational studies and strategic management. It is also relevant for policy makers, regulators and executives of private and public organisations looking to implement successful transformation policies"--
DOI:	doi:10.4324/978100324770
URL:	DOI: https://doi.org/10.4324/978100324770
Schlagwörter:	(s)Wirtschaftsinformatik    / (s)Datenverarbeitung
Sprache:	eng
K10plus-PPN:	1852029668