Data analytics and digital transformation

Table of content:
Part 1: Business context

1. Digital transformations explained

2. Data analytics trends clarified

Part 2: Data analytics foundation

3. Data-driven decision-making

4. Monetization of data and data analytics

5. Data quality – data management in action

6. Data governance – business and IT collaboration

7. Data compliance, privacy, and ethics

Part 3: Digital transformation phase powered by data analytics

8. Digital 1.0 – Supplementing the going concern with digital initiatives

9. Digital 2.0 – siloed digital to integrated digital

10. Digital 3.0 – Preparing for digital transformation 2025

Part 4: Data sharing-centric digital transformations

11. Data management and governance implications of data sharing

12. Data sharing – Competitive and sustainability, compliance, privacy, and ethical implications

13. Partnering in ecosystems – How to structure collaboration?

Part 5: Aligning at the crossroads of data analytics and digital transformations

14. Identifying good practices and roadmaps for aligning analytics and digital organizational goals

15. 2030 Perspective on leveraging data analytics in achieving digital transformation success
[https://www.routledge.com/Data-Analytics-and-Digital-Transformation/Beulen-Dans/p/book/9781032160221]

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. 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 organizations 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, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies
(https://www.routledge.com/Data-Analytics-and-Digital-Transformation/Beulen-Dans/p/book/9781032160221)