Data Analytics for Decision Making Towards Business Excellence: Through the Lens of Retail and Financial Services
暫譯: 數據分析在決策中的應用:以零售與金融服務為視角實現商業卓越

Basu, Bhaskar, Jha, Jitendra Kumar, Mukherjee, Indrajit

  • 出版商: Springer
  • 出版日期: 2025-11-09
  • 售價: $8,240
  • 貴賓價: 9.5$7,828
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819524288
  • ISBN-13: 9789819524280
  • 相關分類: Data-mining
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This edited volume collates discussions on latest challenges, opportunities, trends and practices applicable to two major business sectors -- retail and financial services -- and chapters are segregated accordingly. It explores how these sectors are increasingly becoming data-intensive, and how ways of handling, manipulating, exploiting and evaluating data continues to change in this era of big data. Part A of the book looks into better understanding of marketing metrics/ strategy/ theory and practice using retail analytics. Topics being explored are: inventory, assortment, and promotion effectiveness; pricing strategies; brand/category switching and customer loyalty; customer profitability; customer engagement; cross-buying and up-buying; synergistic effects of online and offline channels and retail innovations; effectiveness of different type of distribution channels; customer experience; service excellence/failure/recovery; digitalizationin retailing; consumer behaviour and marketing in omni-channel retail environments. In Part B, topics of relevance include financial aspects of data analytics such as: behavioral data finance; Big data and credit risk; data analytics and financial econometrics; financial sentiment and news analysis; information and evidence in digital age; policy-making mechanisms and modelling approaches; stock market manipulation detection; stock market trading strategies using data analytics; high frequency/ algorithmic trading with AI; financial forecasting including interest rate/ old price/ crude oil/ macroeconomic variables/ FOREX/ cryptocurrency price; deep learning for finance and insurance applications. The book covers diverse and advanced concepts with practical examples to supplement and complement varied topics of interest within the domain. Thus students, researchers, and practitioners will undoubtedly find novel and new ideas for data analytics in the realm of two critical domain areas: retail and financial services.

商品描述(中文翻譯)

這本編輯的書籍彙集了有關最新挑戰、機會、趨勢和實踐的討論,適用於兩個主要的商業領域——零售和金融服務,章節也相應地進行了劃分。它探討了這些領域如何越來越成為數據密集型行業,以及在大數據時代,處理、操作、利用和評估數據的方式如何不斷變化。書籍的第一部分著重於利用零售分析來更好地理解市場營銷指標/策略/理論和實踐。探討的主題包括:庫存、品類和促銷效果;定價策略;品牌/類別轉換和顧客忠誠度;顧客盈利能力;顧客參與度;交叉購買和升級購買;線上和線下渠道的協同效應及零售創新;不同類型分銷渠道的有效性;顧客體驗;服務卓越/失敗/恢復;零售數位化;消費者行為和全渠道零售環境中的市場營銷。在第二部分,相關主題包括數據分析的財務方面,例如:行為數據金融;大數據與信用風險;數據分析與金融計量經濟學;金融情緒與新聞分析;數位時代的信息與證據;政策制定機制與建模方法;股市操縱檢測;利用數據分析的股市交易策略;高頻/算法交易與人工智慧;金融預測,包括利率/舊價格/原油/宏觀經濟變數/外匯/加密貨幣價格;金融和保險應用的深度學習。這本書涵蓋了多樣且先進的概念,並提供實際範例來補充和補強該領域內各種感興趣的主題。因此,學生、研究人員和從業者無疑會在零售和金融服務這兩個關鍵領域中找到新穎的數據分析理念。

作者簡介

Bhaskar Basu is Professor of Information Systems at Xavier Institute of Management, XIM University, Bhubaneswar. He obtained his PhD from Indian Institute of Technology (IIT), Kharagpur, India, and is a University Gold Medallist from Jadavpur University, Kolkata, India. He also has a Post Graduate Diploma in Business Management (equivalent to MBA) from Indian Institute of Management (IIM), Calcutta. His research interests are in the areas of knowledge management, AI applications in business and sports management. His research work has been published in journals like VINE Journal of Information and Knowledge Management Systems, Journal of Modeling in Management, Journal of Innovation & Knowledge etc. He has also edited a book titled "Organizational Learning-Perspectives and Practices" (2006) and co-edited "Sports Management in an Uncertain Environment" (2023).

Jitendra Kumar Jha is Associate Professor in the Department of Industrial and Systems Engineering at IIT Kharagpur. He obtained his PhD from IIT Kanpur. He has received several scholarships and awards from DRPG IIT Kanpur, North American wing of BITSAA (alumni association of institutions of Birla Institute of Technology and Sciences), SJ Jindal Trust New Delhi, IIT Kharagpur. His main areas of teaching and research include operations research, statistical decision modeling, facility planning, supply chain and logistics planning, and inventory control. His publications have appeared in the reputed journals like Journal of the Operational Research Society, Journal of Manufacturing Systems, Applied Mathematical Modelling, Computers & Industrial Engineering, International Journal of Production Research, and other leading journals of Industrial Engineering. He is serving as an editorial board member of International Journal of Industrial Engineering: Theory, Applications and Practice.

Indrajit Mukherjee is Professor at Shailesh J. Mehta School of Management, IIT Bombay. He obtained his PhD from the Department of Industrial Engineering and Management, IIT Kharagpur. His Master's degree in Quality, Reliability & Operations Research is from Indian Statistical Institute (ISI), Kolkata, India. His research contributions have been published in the European Journal of Operational Research, Journal of Manufacturing Systems, Quality and Reliability Management, Quality Engineering, Computers & Industrial Engineering, to name some. His primary research interest is in multivariate quality control, quality management, applied operations research, and sourcing in the supply chain.

Raghu Nandan Sengupta is Professor, Department of Industrial & Management Engineering, IIT Kanpur. He obtained his PhD from IIM Calcutta and post doctoral fellowship from Princeton University, USA. His research interests are in areas of sequential estimation, statistical and mathematical reliability theory, risk analysis, optimization techniques in finance, meta heuristic techniques, reliability based optimization, robust optimization. His research work has been published in European Journal of Operational Research, Computational Statistics & Data Analysis, Communication in Statistics, Journal of Applied Statistics, Metrika, Statistics, Marketing Intelligence and Planning, Journal of Marketing Theory and Practice, Annals of Operations Research. He has also edited two books titled (i) Decision Sciences: Theory and Practice, (2016); and (ii) Studies in Quantitative Decision Making (2022), the latter being published by Springer.

作者簡介(中文翻譯)

Bhaskar Basu 是位於印度布巴內斯瓦爾的 XIM 大學 Xavier 管理學院的資訊系統教授。他在印度卡哈爾古爾的印度理工學院 (IIT) 獲得博士學位,並且是印度加爾各答的賈達夫普爾大學的金獎畢業生。他還擁有來自印度加爾各答的印度管理學院 (IIM) 的商業管理研究生文憑(相當於 MBA)。他的研究興趣包括知識管理、人工智慧在商業和體育管理中的應用。他的研究成果已發表在《VINE 資訊與知識管理系統期刊》、《管理建模期刊》、《創新與知識期刊》等期刊上。他還編輯了一本名為《組織學習:觀點與實踐》(2006)的書籍,並共同編輯了《不確定環境中的體育管理》(2023)。

Jitendra Kumar Jha 是印度卡哈爾古爾 IIT 工業與系統工程系的副教授。他在印度坎普爾的 IIT 獲得博士學位。他曾獲得來自 DRPG IIT 坎普爾、北美 BITSAA(比爾拉科技與科學學院校友會)、新德里的 SJ Jindal Trust 和 IIT 卡哈爾古爾的多項獎學金和獎項。他的主要教學和研究領域包括運籌學、統計決策建模、設施規劃、供應鏈與物流規劃以及庫存控制。他的出版物已發表在《運籌學會期刊》、《製造系統期刊》、《應用數學建模》、《計算機與工業工程》、《國際生產研究期刊》等知名工業工程期刊上。他目前擔任《國際工業工程期刊:理論、應用與實踐》的編輯委員會成員。

Indrajit Mukherjee 是印度孟買 IIT Shailesh J. Mehta 管理學院的教授。他在印度卡哈爾古爾的工業工程與管理系獲得博士學位。他的碩士學位為質量、可靠性與運籌學,來自印度加爾各答的印度統計學院 (ISI)。他的研究貢獻已發表在《歐洲運籌學期刊》、《製造系統期刊》、《質量與可靠性管理》、《質量工程》、《計算機與工業工程》等期刊上。他的主要研究興趣包括多變量質量控制、質量管理、應用運籌學以及供應鏈中的採購。

Raghu Nandan Sengupta 是印度坎普爾 IIT 工業與管理工程系的教授。他在 IIM 加爾各答獲得博士學位,並在美國普林斯頓大學獲得博士後研究獎學金。他的研究興趣包括序列估計、統計與數學可靠性理論、風險分析、金融中的優化技術、元啟發式技術、基於可靠性的優化以及穩健優化。他的研究成果已發表在《歐洲運籌學期刊》、《計算統計與數據分析》、《統計通訊》、《應用統計期刊》、《Metrika》、《統計學》、《市場情報與規劃》、《市場理論與實踐期刊》、《運營研究年鑑》等期刊上。他還編輯了兩本書籍,分別是 (i) 《決策科學:理論與實踐》(2016);以及 (ii) 《定量決策研究》(2022),後者由 Springer 出版。