Data Analytics for Strategic Decisions

Fundamentals of Business Technology and AI Integration
1. Auflage 2026
ISBN: 978-1-041-39589-8
Verlag: Taylor & Francis

Buch, Englisch, 104 Seiten, Format (B × H): 174 mm x 246 mm

Reihe: Mastering Business Analytics

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.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

Muñoz, Miriam Martínez

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsprognose
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Part I. Fundamentals of data-driven decision-making Chapter 1. Introduction to data-driven decision-making. Chapter 2. Data in the digital business environment. Part II. Analytics and Quantitative Fundamentals. Chapter 3. Fundamentals of Business Data Analytics. Chapter 4. Statistics applied to business decision-making. Part III. Business Intelligence and Analytical Technologies. Chapter 5. Business Intelligence and Data Visualisation. Chapter 6. Data technologies and analytics platforms. Part IV. Advanced analytics and artificial intelligence. Chapter 7. Predictive analytics and business models. Chapter 8. Artificial intelligence applied to business. Part V. Business Applications and Digital Transformation. Chapter 9. Data Analytics in Marketing, Operations and Finance. Chapter 10. Ethics, privacy and data governance. Chapter 11. Data-driven digital transformation. Part VI. Future outlook and emerging trends. Chapter 12. The future of business analytics

Über Autor(innen)

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.