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  • 1
    UID:
    gbv_1804087122
    Format: 1 Online-Ressource (vi, 276 Seiten) , Diagramme
    ISBN: 9781003129356 , 1003129358 , 9781000577853 , 1000577856 , 9781000577907 , 1000577902
    Additional Edition: ISBN 9780367654214
    Additional Edition: ISBN 9780367654191
    Additional Edition: Erscheint auch als Druck-Ausgabe Annansingh, Fenio Data analytics for business London : Routledge, Taylor & Francis Group, 2022 ISBN 9780367654214
    Additional Edition: ISBN 9780367654191
    Language: English
    Subjects: Computer Science , Economics
    RVK:
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Abingdon, Oxon ; : Routledge,
    UID:
    almahu_9949385486202882
    Format: 1 online resource : , color illustrations
    ISBN: 9781003129356 , 1003129358 , 9781000577853 , 1000577856 , 9781000577907 , 1000577902
    Content: "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"--
    Additional Edition: Print version: Annasingh, Fenio. Data analytics for business New York, NY : Routledge, 2022 ISBN 9780367654214
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
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