Defining Enterprise Data and Analytics Strategy: Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies

This book provides a pragmatic approach to defining an enterprise data and analytics strategy for large enterprises, based on successful digital transformation experience. It addresses key elements such as defining the strategy, aligning it with business strategy, establishing a futuristic technology foundation, and managing organizational change. It also highlights the key skills required in a data and analytics leader and provides a business value measurement framework.

Format: Hardback
Length: 174 pages
Publication date: 07 November 2022
Publisher: Springer Verlag, Singapore

This groundbreaking book is a comprehensive guide to enterprise data and analytics strategy, offering a pragmatic approach for defining this strategy for large enterprises. Drawing from successful digital transformation experiences of numerous Fortune 500 and other large organizations, the book emphasizes the importance of a well-defined data and analytics strategy in driving business success.

According to estimates, over 50% of data and analytics initiatives fail globally due to the inherent complexity of these projects. Enterprises face numerous challenges in defining their data and analytics strategy, including:

• How to define enterprise data and analytics strategy?
• What are the key elements that should be considered?
• Why a one-size-fits-all approach does not work for all enterprises?
• How to align data and analytics initiatives with the business strategy of the CEO?
• How to establish a futuristic technology and architecture foundation, considering the exponential rate of innovation in data and analytics technologies?
• How to define the right data and analytics organization model?
• Why data and analytics organization and processes need to be different from other functions?
• How to manage organizational change to ensure the success of data and analytics initiatives?
• How to define a business value measurement framework and calculate ROI from data and analytics initiatives?
• What are the key skills required in a data and analytics leader to navigate political and other challenges in a large enterprise?

To address these challenges, the book provides valuable insights and practical strategies. It offers a step-by-step framework for defining enterprise data and analytics strategy, covering key aspects such as data governance, technology architecture, organization design, and change management. It also discusses the importance of data and analytics skills and the role of data and analytics leaders in driving organizational change.

By providing a comprehensive and practical guide, this book empowers executives, chief digital/analytics officers, data and analytics professionals, and consultants to make informed decisions and drive their enterprises toward data-driven success. It serves as a valuable resource for anyone seeking to leverage data and analytics to achieve competitive advantage and drive innovation.

Weight: 459g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811957185
Edition number: 1st ed. 2022