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

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

Material type
단행본
Personal Author
Annasingh, Fenio, author. Bon Sesay, Joseph, author.
Title Statement
Data analytics for business : foundations and industry applications / Fenio Annasingh and Joseph Bon Sesay.
판사항
1st ed.
Publication, Distribution, etc
New York, NY :   Routledge,   2022.  
Physical Medium
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"--
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Business --Data processing. Data mining. Data mining --Industrial applications.
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020 ▼a 9780367654191 ▼q (paperback)
020 ▼z 9781003129356 ▼q (ebook)
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090 ▼a 658.05 ▼b A613d
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

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 658.05 A613d Accession No. 111864451 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

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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