Data and Decision Analytics for Business Operations: Principles, Problems, and Practice
暫譯: 商業運營的數據與決策分析：原則、問題與實踐
Cheong, Michelle L. F., Ma Nang Laik
- 出版商: Springer
- 出版日期: 2024-12-29
- 售價: $2,660
- 貴賓價: 9.5 折 $2,527
- 語言: 英文
- 頁數: 321
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303172254X
- ISBN-13: 9783031722547
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商品描述
In this book, readers will be exposed to the Data and Decision Analytics Framework which helps a business analyst to first identify the root cause of business problems by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions should be developed to solve the problems.
To guide the reader through the learning and application of this framework, several cases are included in the book to illustrate the typical operations management problems faced by businesses. These cases are based on experiences in business domains such as retail, healthcare, transportation and logistics operations, and banking, and they are related to demand forecasting, inventory management, distribution management, capacity planning, resource allocation, workforce scheduling, and service system management. For each case, a complete mapping of the case into the Data and Decision Analytics Framework was done to explain how the framework was applied to derive the data insights from data analytics, to define the business objectives, make the necessary assumptions, and then develop the solution to the business problem.
This book aims at senior-year undergraduate or graduate students studying industrial engineering, business management with a focus on operations, or data science. They will learn how to use data analytics to first analyze problems to identify the root cause of problems, before developing the solutions supported by decision analytics.
商品描述(中文翻譯)
在本書中，讀者將接觸到數據與決策分析框架，該框架幫助商業分析師首先通過收集、準備和探索數據來識別商業問題的根本原因，以獲得商業洞察，然後提出應該開發的目標和解決方案來解決這些問題。
為了引導讀者學習和應用這一框架，本書中包含了幾個案例，以說明企業面臨的典型運營管理問題。這些案例基於零售、醫療保健、運輸和物流運營以及銀行等商業領域的經驗，涉及需求預測、庫存管理、分配管理、產能規劃、資源分配、工作排程和服務系統管理。對於每個案例，均完整地將其映射到數據與決策分析框架中，以解釋如何應用該框架從數據分析中推導出數據洞察，定義商業目標，做出必要的假設，然後開發解決商業問題的方案。
本書的目標讀者為學習工業工程、專注於運營的商業管理或數據科學的四年級本科生或研究生。他們將學習如何使用數據分析首先分析問題，以識別問題的根本原因，然後開發由決策分析支持的解決方案。
作者簡介
Michelle L. F. Cheong is Professor of Information Systems (Education) and Associate Dean of Postgraduate Professional Education at the Singapore Management University (SMU), School of Computing & Information Systems (SCIS). She had 8 years of industry experience leading teams to develop complex enterprise-wide IT systems covering business functions from sales to engineering, inventory management, planning, production, and distribution, before she joined SMU in 2005. She teaches courses in business modeling, data analytics and decision analytics, has conducted executive and professional trainings in data and decision analytics topics for many public and private organizations, as well as individuals from open enrolment courses.
Ma Nang Laik is an Associate Professor at the School of Business at the Singapore University of Social Sciences (SUSS). She teaches courses on data analytics, logistics and supply chains, quantitative methods, business skills and management, and business analytics applications. Her research expertise lies in the simulation and modeling of large-scale real-world problems and the development of computationally efficient algorithms to enable sound and intelligent decision-making in the organization. She brings industry experience from work for Changi Airport Group, PSA - one of the largest container ports, and the Development Bank of Singapore.
作者簡介(中文翻譯)
Michelle L. F. Cheong 是新加坡管理大學 (SMU) 資訊系統學院 (School of Computing & Information Systems, SCIS) 的資訊系統 (教育) 教授及研究生專業教育副院長。在2005年加入SMU之前，她在業界擁有8年的經驗，領導團隊開發涵蓋從銷售到工程、庫存管理、規劃、生產和分配等業務功能的複雜企業級IT系統。她教授商業建模、數據分析和決策分析等課程，並為許多公共和私人機構以及開放報名課程的個人進行數據和決策分析主題的高管和專業培訓。
Ma Nang Laik 是新加坡社會科學大學 (SUSS) 商學院的副教授。她教授數據分析、物流與供應鏈、定量方法、商業技能與管理以及商業分析應用等課程。她的研究專長在於大型現實問題的模擬與建模，以及開發計算效率高的算法，以促進組織中的合理和智能決策。她擁有在樟宜機場集團、PSA（全球最大的集裝箱港口之一）和新加坡發展銀行工作的業界經驗。
