Data-Driven Decision-Making for Business
eBook - ePub

Data-Driven Decision-Making for Business

  1. 326 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data-Driven Decision-Making for Business

About this book

Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data.

Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums.

Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.

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Yes, you can access Data-Driven Decision-Making for Business by Claus Grand Bang in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2024
Print ISBN
9781032601496
eBook ISBN
9781040103333
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. List of Figures
  7. List of Illustrations
  8. List of Tables
  9. 1 Introduction: What Is Data-Driven Decision-Making and Why Does It Matter?
  10. 2 Data Strategy: How to Align Data Initiatives with Business Goals and Objectives
  11. 3 Data Products
  12. 4 Data Culture: How to Foster a Data-Driven Mindset (Data Literacy) and Behavior
  13. 5 Data Sources: How to Find, Collect, and Manage Data for Business Value
  14. 6 Data Visualization and Presentation: How to Present and Communicate Data Effectively for Decision-Making
  15. 7 Data Analysis: Understand How Descriptive, Predictive, and Prescriptive Analytics Can Support the Organizational Decision Processes
  16. 8 Data Infrastructure: How to Build and Manage a Modern Data Stack
  17. 9 Data Ethics: How to Ensure the Data Practices Are Responsible, Secure, and Legal
  18. 10 Perspectives on Decision-Making Using Generative AI
  19. Index