Data Analytics for Strategic Decisions: Fundamentals of Business Technology and AI Integration

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 Dgtl 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 Dgtl 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.

About the Author

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 dgtl transformation.