Data Analytics for Strategic Decisions

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A01=Miriam Martinez Munoz
Artificial Intelligence
Author_Miriam Martinez Munoz
Business Intelligence
Category=KCH
Category=KJMK
Category=KJMV5
Category=KJMV6
Category=PBT
Category=UNF
Category=UY
Data Visualization
Digital Transformation
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
forthcoming
Innovation
Predictive Analytics
Strategic Decision-Making

Product details

  • ISBN 9781041395898
  • Dimensions: 174 x 246mm
  • Publication Date: 27 Nov 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.

Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.

This book is designed for undergraduate and master’s students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.

The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Miriam Martínez Muñoz, Ph.D., is a Lecturer and Director of the Business and Technology at UDIMA, Spain. With extensive experience in IT analysis, programming, and academic research, she has worked on projects for major organizations like BBVA and BSCH. Her expertise spans business technology, data analytics, cybersecurity, and digital transformation.

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