Data analytics for business : foundations and industry applications / Fenio Annasingh and Joseph Bon Sesay.

Includes bibliographical references and index.

History and evolution of data analytics -- Data mining and analytics -- Data analytics tools -- Business analytics and intelligence -- Customer relationship analytics, cloud computing, blockchain, and cognitive computing -- Cybersecurity and data analytics -- Data analytics and the retail industry -- Data analytics in the financial services industry -- Data analytics in the sports industry -- Data analytics in the accounting industry -- Data analytics in the medical industry -- Data analytics in the manufacturing industry -- Data analytics in the marketing industry -- Data analytics in the transportation industry -- 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 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"-- Provided by publisher.