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Data analytics for business : foundations and industry applications / 1st ed

Data analytics for business : foundations and industry applications / 1st ed

자료유형
단행본
개인저자
Annasingh, Fenio, author. Bon Sesay, Joseph, author.
서명 / 저자사항
Data analytics for business : foundations and industry applications / Fenio Annasingh and Joseph Bon Sesay.
판사항
1st ed.
발행사항
New York, NY :   Routledge,   2022.  
형태사항
vi, 276 p. : col. ill. ; 24 cm.
ISBN
9780367654214 9780367654191
요약
"Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence and related areas"--
서지주기
Includes bibliographical references and index.
일반주제명
Business --Data processing. Data mining. Data mining --Industrial applications.
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100 1 ▼a Annasingh, Fenio, ▼e author.
245 1 0 ▼a Data analytics for business : ▼b foundations and industry applications / ▼c Fenio Annasingh and Joseph Bon Sesay.
250 ▼a 1st ed.
260 ▼a New York, NY : ▼b Routledge, ▼c 2022.
264 1 ▼a New York, NY : ▼b Routledge, ▼c 2022.
300 ▼a vi, 276 p. : ▼b col. ill. ; ▼c 24 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a "Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence and related areas"-- ▼c Provided by publisher.
650 0 ▼a Business ▼x Data processing.
650 0 ▼a Data mining.
650 0 ▼a Data mining ▼x Industrial applications.
700 1 ▼a Bon Sesay, Joseph, ▼e author.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 658.05 A613d 등록번호 111864451 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

1 History and Evolution of Data Analytics 2 Data Mining and Analytics 3 Data Analytics Tools 4 Business Analytics and Intelligence 5 Customer Relationship Analytics, Cloud Computing, Blockchain, and Cognitive Computing 6 Cybersecurity and Data Analytics 7 Data Analytics and the Retail Industry 8 Data Analytics in the Financial Services Industry 9 Data Analytics in the Sports Industry 10 Data Analytics in the Accounting Industry 11 Data Analytics in the Medical Industry 12 Data Analytics in the Manufacturing Industry 13 Data Analytics in the Marketing Industry 14 Data Analytics in the Transportation Industry 15 Data Analytics in Education

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