Big Data Management and Analytics: Concepts, Tools, and Applications
暫譯: 大數據管理與分析：概念、工具與應用

隨著越來越多的公司數位化並在線上進行業務，本書提供了實用的範例，說明它們如何更好地管理數據並利用數據產生最大價值。本書採取綜合的方法，將數據視為資產，並討論如何像保護其他企業資產一樣保護和保存數據。

《大數據管理與分析：概念、工具與應用》展示了有效的策略，用於管理、治理和分析大數據，以便為利用大數據和分析的公司獲得競爭優勢。本書提供了一個全面的指南，介紹了高效管理和分析大數據的方法、工具和概念，以便做出明智的決策。此外，本書探討了人工智慧和機器學習在利用大數據中的重要性，以及如何在良好結構的環境中優化這些技術。本書還強調將大數據視為有價值的資產，並概述了像保護其他企業資產一樣保存和保護大數據的策略。案例研究的納入確保了所提出的方法論和概念可以輕鬆地在日常運營中實施。

鑒於當前大數據在商業世界中的重要性，本書使讀者具備有效管理這一寶貴資產所需的技能。它專為從事數據挖掘、大數據和機器學習的實務工作者、學生和專業人士量身定制，涵蓋各行各業，包括製造業。

Rajesh Jugulum, Ph.D., is the Chairman and Chief Data Science and Analytics Officer at DataDragon and an affiliate professor at Northeastern University. Prior to this, he held executive positions in the areas of data science, analytics and process engineering at Cigna, Citi Group and Bank of America. Rajesh completed his Ph.D. under the guidance of Dr. Genichi Taguchi. Before joining industry, Rajesh was with Massachusetts Institute of Technology, where he was involved in research and teaching.

Currently, he is also an affiliate faculty at University of Arkansas, Little Rock. Rajesh is the author/co-author of several papers and five books including books on robust quality, data quality and design for lean six sigma. Rajesh is also a certified Six Sigma Master Black Belt and holds two US patents and he has delivered talks across the globe as the keynote speaker at several conferences, symposiums, and events related to data science, analytics and process engineering. He has also delivered lectures at several universities/companies across the globe and participated as a judge in data-related competitions

David Fogarty, PhD. MBA currently works for one of the largest global health insurers as their Chief Marketing Analytics Officer and Head of Global Customer Value Management and Analytics.

For 20 years David worked at the General Electric Company and has held quantitative analysis leadership roles in the various business units of the company across several functions including risk management and marketing both internationally and in the US. David has over 15 US patents or patents pending on business analytics algorithms and is a certified Six Sigma Master Black Belt in Quality which is the highest qualification within the Six Sigma Quality methodology.

David has over 15 years of teaching experience having held various adjunct academic appointments at both the graduate and undergraduate level in statistics, international management and quantitative analysis. He has also taught business analytics courses at the esteemed GE Crotonville Management Development Institute in Crotonville, New York and has 50 published research papers in peer reviewed academic journals and has also published three books. His research interests include how to conduct analysis with missing data, the cultural meaning of data, integrating machine learning and artificial intelligence algorithms into the statistical science framework and many other topics related to quantitative analysis in business.

**Rajesh Jugulum, Ph.D.** 是 DataDragon 的董事長及首席數據科學與分析官，並且是東北大學的兼任教授。在此之前，他曾在 Cigna、Citi Group 和美國銀行擔任數據科學、分析和流程工程領域的高級職位。Rajesh 在田口玄一博士的指導下完成了他的博士學位。在進入業界之前，Rajesh 曾在麻省理工學院從事研究和教學工作。

目前，他也是阿肯色大學小石城的兼任教員。Rajesh 是多篇論文和五本書籍的作者或合著者，這些書籍包括有關穩健品質、數據品質和精益六西格瑪設計的內容。Rajesh 也是一名認證的六西格瑪大師黑帶，擁有兩項美國專利，並在全球多個會議、研討會和與數據科學、分析及流程工程相關的活動中擔任主題演講者。他還在全球多所大學和公司進行過講座，並參與數據相關競賽的評審工作。

**David Fogarty, PhD. MBA** 目前在全球最大的健康保險公司之一擔任首席市場分析官及全球客戶價值管理與分析部門負責人。

David 在通用電氣公司工作了 20 年，並在公司的各個業務單位中擔任定量分析領導職位，涵蓋風險管理和市場營銷等多個功能，無論是在國際上還是在美國。David 擁有超過 15 項美國專利或待審專利，涉及商業分析算法，並且是六西格瑪品質方法中最高資格的認證六西格瑪大師黑帶。

David 擁有超過 15 年的教學經驗，曾在研究生和本科層級擔任各種兼任學術職位，教授統計學、國際管理和定量分析。他還在位於紐約克羅頓維爾的通用電氣克羅頓維爾管理發展學院教授商業分析課程，並在同行評審的學術期刊上發表了 50 篇研究論文，還出版了三本書籍。他的研究興趣包括如何處理缺失數據的分析、數據的文化意義、將機器學習和人工智慧算法整合進統計科學框架，以及許多與商業定量分析相關的主題。