Data analytics for business : foundations and industry applications / by Fenio Annansingh, Joseph Bon Sesay
Material type:
TextPublication details: New York, NY : Routledge, ©2022Description: xi, 276 pages : color illustrations ; 23 cmISBN: - 9780367654191
- 658.4033 An72 2022
| Item type | Current library | Call number | Status | Barcode | |
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Foundation University Library | Grad 658.4033 An72 2022 (Browse shelf(Opens below)) | Available | 63041 |
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| Grad 658.3 N68 2023 Human resource management : gaining a competitive advantage / | Grad 658.4012 D28 2023 Strategic management : concepts and cases : a competitive advantage approach / | Grad 658.4032 H55 2023 Introduction to management science and business analytics : a modeling and case studies approach with spreadsheets / | Grad 658.4033 An72 2022 Data analytics for business : foundations and industry applications / | Grad 658.404 M54 2022 Project management : a strategic managerial approach / | Grad 658.4092 L46 2019 Leadership : contemporary critical perspectives / | Grad 658.5 C11 2023 Operations management / |
Includes bibliographical references and indexes.
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
"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’s 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." --Publisher
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