Business Intelligence for Higher Education: Empowering Data-Driven Decision Making
暫譯: 高等教育商業智慧：賦能數據驅動的決策制定
Aziz, Azwa Abdul, Jusoh, Julaily Aida, Awang, Wan Suryani Wan
- 出版商: Springer
- 出版日期: 2026-01-16
- 售價: $7,990
- 貴賓價: 9.8 折 $7,830
- 語言: 英文
- 頁數: 109
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032053609
- ISBN-13: 9783032053602
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相關分類:
Data-mining、Data-visualization
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書深入探討商業智慧（Business Intelligence, BI）在高等教育機構（Higher Education Institutions, HEIs）中的應用。它向讀者介紹了基本的 BI 方法論、技術進展和分析實踐，旨在改變機構的決策過程。本書涵蓋了核心的 BI 概念，如資料探勘（data mining）、預測分析（predictive analytics）和資料視覺化（data visualization），並展示這些技術如何顯著提升學生成功率、運營效率和戰略性機構管理。
本書以真實案例研究和實際範例為基礎，說明在學術界實施 BI 解決方案的具體影響，包括改善財務規劃、優化資源配置和增強學生留存策略。讀者將獲得克服資料治理（data governance）和品質保證（quality assurance）等挑戰的見解，從而為學術領導者、管理人員和政策制定者提供促進數據驅動決策文化所需的工具。本書作為一本全面的指南，彌合了傳統行政實踐與現代分析驅動的高等教育管理新需求之間的鴻溝。
作者簡介
Dr. Azwa Abdul Aziz is an Associate Professor at Universiti Sultan Zainal Abidin (UniSZA), Malaysia, where she leads the Smart Technology and Systems Research Cluster. She holds a Ph.D. in Artificial Intelligence from the University of Aberdeen, Scotland, and specializes in AI, data science, and business intelligence. Dr. Azwa is the founder and CEO of Dataspeak Analytica Sdn. Bhd., a university spin-off focused on AI-driven social media and branding analytics. A key contributor to innovation in higher education, Dr. Azwa introduced the concept of Educational Intelligence--a data-driven framework that empowers academic institutions to enhance decision-making and student outcomes through integrated AI and business intelligence tools. This concept was further expanded in the doctoral thesis of Men Chen at the University of Bedfordshire, offering a comprehensive model for strategic intelligence in education. Dr. Azwa continues to champion interdisciplinary approaches to digital transformation in academia, media, and heritage-based communities.
Dr. Julaily Aida Jusoh is a senior lecturer at the Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Malaysia. She holds a PhD in Computer Science from Universiti Malaysia Terengganu. Her expertise includes Software Engineering, Data Mining, Requirements Engineering, and Database Systems. She actively involved in teaching undergraduate courses such as Formal Methods, Software Engineering, Database, and Software Project Management. Dr. Julaily is also contributes to research, particularly in Pattern Mining, User Engagement in the Virtual Environment, Shariah-Compliant Human Milk Bank and User Modelling and Relevance Feedback.
Associate Professor Dr. Wan Suryani Wan Awang serves at the Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Malaysia. She earned her Ph.D. in Computer Science from Cardiff University, United Kingdom, and brings over 28 years of experience in academia. Her research interests include distributed systems, advanced database, the Internet of Things (IoT), and machine learning. Dr. Wan Suryani is deeply dedicated to advancing the fields of computer science and information technology through impactful teaching, innovative research, and meaningful academic collaboration.
作者簡介(中文翻譯)
阿茲瓦·阿卜杜勒·阿齊茲博士是馬來西亞蘇丹再納阿比丁大學（Universiti Sultan Zainal Abidin, UniSZA）的副教授，負責智慧科技與系統研究群。她擁有蘇格蘭阿伯丁大學的人工智慧博士學位，專長於人工智慧、數據科學和商業智慧。阿茲瓦博士是Dataspeak Analytica Sdn. Bhd.的創辦人及執行長，這是一家專注於人工智慧驅動的社交媒體和品牌分析的大學衍生公司。作為高等教育創新的重要貢獻者，阿茲瓦博士提出了教育智慧的概念——這是一個數據驅動的框架，使學術機構能夠通過整合人工智慧和商業智慧工具來提升決策能力和學生成果。這一概念在邊福德大學的陳門博士的博士論文中進一步擴展，提供了一個全面的教育戰略智慧模型。阿茲瓦博士持續倡導跨學科的方法，以推動學術界、媒體和基於遺產的社區的數位轉型。
朱萊莉·艾達·朱索博士是馬來西亞蘇丹再納阿比丁大學（UniSZA）資訊與計算學院的高級講師。她擁有馬來西亞登嘉樓大學的計算機科學博士學位。她的專業領域包括軟體工程、數據挖掘、需求工程和資料庫系統。她積極參與教授本科課程，如形式方法、軟體工程、資料庫和軟體專案管理。朱萊莉博士也參與研究，特別是在模式挖掘、虛擬環境中的用戶參與、符合伊斯蘭教法的人乳銀行以及用戶建模和相關反饋方面。
萬蘇里亞尼·萬阿旺副教授在馬來西亞蘇丹再納阿比丁大學（UniSZA）資訊與計算學院任教。她在英國卡迪夫大學獲得計算機科學博士學位，並擁有超過28年的學術經驗。她的研究興趣包括分散式系統、高級資料庫、物聯網（IoT）和機器學習。萬蘇里亞尼博士致力於通過有影響力的教學、創新的研究和有意義的學術合作來推進計算機科學和資訊技術領域。
