Business Intelligence for Higher Education: Empowering Data-Driven Decision Making

Aziz, Azwa Abdul; Jusoh, Julaily Aida; Awang, Wan Suryani Wan

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.

Details

Published by: Springer

Publication Date: 2026-01-05

Format: Hardcover

ISBN-13: 9783032053602

DOI:

Dimensions: 235.0cm x155.0cm

Pages: 109.0