Decision-Making and Analytics: Data-Driven Business Intelligence and Optimization
暫譯: 決策與分析：數據驅動的商業智慧與優化
Fazlollahtabar, Hamed
- 出版商: CRC
- 出版日期: 2026-07-28
- 售價: $4,310
- 貴賓價: 9.5 折 $4,094
- 語言: 英文
- 頁數: 292
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041237332
- ISBN-13: 9781041237334
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相關分類:
Data-mining、Machine Learning
尚未上市，無法訂購
商品描述
In today's data-driven business world, organizations struggle to extract actionable insights from vast amounts of information. This textbook bridges theory and practice, offering structured approaches to leverage data for enhanced decision-making through machine learning, AI, and optimization modeling--transforming raw data into competitive business intelligence.
Decision Making and Analytics: Data-Driven Business Intelligence and Optimization features advanced analytical methodologies paired with real-world implementation studies, creating a progressive learning path from customer behavior analysis through hybrid decision models. By integrating fuzzy logic, neural networks, text mining, and reinforcement learning, it provides a comprehensive toolkit applicable across business scenarios, turning abstract concepts into practical solutions.
Serving multiple audiences, this resource bridges the gap between classroom theory and industry practice for students in industrial engineering, business analytics, and management information systems. Practitioners gain applicable methodologies to improve organizational decision-making. At the same time, researchers benefit from cutting-edge approaches across various domains, and policymakers can develop data-informed strategies--addressing the growing demand for professionals who translate data into strategic decisions.
The textbook employs open-ended questions that develop analytical reasoning skills without predetermined solutions, better preparing students for real-world complexity. Supporting materials include high-quality figure slides, as well as PowerPoint slides, for qualified adopters, enabling engaging learning environments that effectively communicate complex concepts while building practical, data-driven decision-making skills.
商品描述(中文翻譯)
在當今以數據為驅動的商業世界中，組織面臨從大量信息中提取可行見解的挑戰。本教科書橋接理論與實踐，提供結構化的方法來利用數據增強決策，通過機器學習、人工智慧和優化建模，將原始數據轉化為競爭性的商業智慧。
《決策與分析：數據驅動的商業智慧與優化》特別介紹了先進的分析方法，並結合實際的實施案例，創造出從客戶行為分析到混合決策模型的漸進學習路徑。通過整合模糊邏輯、神經網絡、文本挖掘和強化學習，提供了一套全面的工具包，適用於各種商業場景，將抽象概念轉化為實用解決方案。
本資源服務於多個受眾，為工業工程、商業分析和管理資訊系統的學生橋接了課堂理論與行業實踐之間的鴻溝。實務工作者獲得可應用的方法論，以改善組織的決策。同時，研究人員受益於各個領域的前沿方法，而政策制定者則能夠制定以數據為依據的策略，應對對能夠將數據轉化為戰略決策的專業人才日益增長的需求。
本教科書採用開放式問題，發展分析推理能力，無需預設解答，更好地為學生準備面對現實世界的複雜性。支持材料包括高品質的圖表幻燈片，以及為合格採用者提供的PowerPoint幻燈片，促進引人入勝的學習環境，有效傳達複雜概念，同時培養實用的數據驅動決策能力。
作者簡介
Dr. Hamed Fazlollahtabar is an Associate Professor in the Department of Industrial Engineering at Damghan University, Iran, where he has served since June 2017. He earned his BSc and MSc in Industrial Engineering from Mazandaran University of Science and Technology in 2008 and 2010, followed by a PhD in Industrial and Systems Engineering from Iran University of Science and Technology. and completed a postdoctoral research fellowship in reliability engineering for complex systems at Sharif University of Technology from October 2016 to March 2017. A globally recognized researcher, Dr. Fazlollahtabar has been consistently ranked among the top 2% of scientists worldwide from 2021 through 2025, was named the best researcher across all engineering disciplines in Iran in 2022, and received the distinguished young researcher award in Industrial Engineering in Iran for 2023. His extensive research portfolio encompasses robotic production systems, reliability engineering, sustainable supply chain planning, and business intelligence and analytics, resulting in over 300 research papers published in international books, journals, and conferences, as well as twelve authored books, eight of which have international academic distribution. Dr. Fazlollahtabar further contributes to his field through service on editorial boards of academic journals and participation in technical committees for conferences.
作者簡介(中文翻譯)
哈梅德·法茲洛拉塔巴博士是伊朗達姆甘大學工業工程系的副教授，自2017年6月以來一直在該校任教。他於2008年和2010年分別獲得馬贊達蘭科技大學的工業工程學士和碩士學位，隨後在伊朗科學與技術大學獲得工業與系統工程博士學位，並於2016年10月至2017年3月在沙里夫科技大學完成複雜系統可靠性工程的博士後研究。法茲洛拉塔巴博士是一位全球公認的研究者，自2021年至2025年，他的排名始終位於全球科學家前2%，在2022年被評選為伊朗所有工程學科的最佳研究者，並於2023年獲得伊朗工業工程傑出青年研究者獎。他的廣泛研究領域包括機器人生產系統、可靠性工程、可持續供應鏈規劃以及商業智慧與分析，已在國際書籍、期刊和會議上發表超過300篇研究論文，並著有12本書，其中8本具有國際學術發行。他還通過擔任學術期刊的編輯委員會成員和參與會議的技術委員會進一步貢獻於他的領域。
