Business Intelligence for Higher Education. Empowering Data-Driven Decision Making. 1st ed. 2026.

Autor/inn/en	Aziz, Azwa Abdul; Jusoh, Julaily Aida; Awang, Wan Suryani Wan
Titel	Business Intelligence for Higher Education. Empowering Data-Driven Decision Making. 1st ed. 2026.
Quelle	Cham: Springer Nature Switzerland (2026), X, 109 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Beigaben	Illustrationen 29; farbige Illustrationen 27
Sprache	englisch
Dokumenttyp	online; gedruckt; Monografie
ISBN	978-3-032-05361-9; 9783032053602; 9783032053626; 9783032053633
DOI	10.1007/978-3-032-05361-9
Schlagwörter	Bildung; Erziehung; Künstliche Intelligenz; Forschung; Data Science
Abstract	This book provides an in-depth exploration of Business Intelligence (BI) within the context of higher education institutions (HEIs). It introduces readers to essential BI methodologies, technological advancements, and analytical practices designed to transform institutional decision-making processes. Covering core BI concepts such as data mining, predictive analytics, and data visualization, the book demonstrates how these techniques can significantly enhance student success, operational efficiency, and strategic institutional management. Drawing on real-world case studies and practical examples, the text illustrates the tangible impacts of implementing BI solutions in academia, including improved financial planning, optimized resource allocation, and enhanced student retention strategies. Readers will gain insights into overcoming challenges such as data governance and quality assurance, thus equipping academic leaders, administrators, and policy makers with the tools needed to foster a culture of data-driven decision-making. This book serves as a comprehensive guide, bridging the gap between traditional administrative practices and the emerging demands of modern, analytics-driven higher education management. Inhalt: Chapter 1: Introduction to Business Intelligence in Higher Education -- Chapter 2: Data Governance and Management -- Chapter 3: BI Tools and Technologies for Higher Education -- Chapter 4: Building a Data Warehouse for Higher Education -- Chapter 5: Data Visualization and Reporting -- Chapter 6: Enhancing Student Success with BI -- Chapter 7: Privacy, Security, and Ethical Considerations -- Chapter 8: Future Trends in BI for Higher Education.
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2026/3