Data analytics for business [electronic resource] : foundations and industry applications / Fenio Annasingh and Joseph Bon Sesay.
"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...
| Main Authors: | |
|---|---|
| Language: | English |
| Published: |
London ; New York :
Routledge, Taylor & Francis Group,
2022.
|
| Subjects: | |
| Online Access: | |
| Variant Title: |
Data Analytics for Business: Foundations and Industry Applications |
| Format: | Electronic eBook |
MARC
| LEADER | 00000nam a22000003i 4500 | ||
|---|---|---|---|
| 001 | ebs30063975e | ||
| 003 | EBZ | ||
| 006 | m o d |||||| | ||
| 007 | cr|unu|||||||| | ||
| 008 | 220207t20222022enk ob 001 0 eng | ||
| 020 | |z 9780367654191 | ||
| 020 | |z 9780367654214 | ||
| 020 | |a 9781000577853 (online) | ||
| 020 | |a 9781000577907 (online) | ||
| 020 | |a 9781003129356 (online) | ||
| 035 | |a (EBZ)ebs30063975e | ||
| 040 | |a DLC |b eng |d EBZ | ||
| 042 | |a pcc | ||
| 050 | 0 | 0 | |a HF5548.2 |
| 100 | 1 | |a Annasingh, Fenio, |e author. | |
| 245 | 1 | 0 | |a Data analytics for business |h [electronic resource] : |b foundations and industry applications / |c Fenio Annasingh and Joseph Bon Sesay. |
| 246 | 2 | |a Data Analytics for Business: Foundations and Industry Applications | |
| 264 | 1 | |a London ; |a New York : |b Routledge, Taylor & Francis Group, |c 2022. | |
| 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. | |
| 773 | 0 | |t Taylor & Francis eBooks (Complete Collection) |d Taylor and Francis | |
| 776 | 0 | 8 | |i Print version: |a Annasingh, Fenio. |t Data analytics for business |b 1 Edition. |d New York, NY : Routledge, 2022 |z 9780367654214 |w (DLC) 2021061495 |
| 856 | 4 | 0 | |y Access Content Online(from Taylor & Francis eBooks (Complete Collection)) |u https://ezproxy.msu.edu/login?url=https://www.taylorfrancis.com/books/9781003129356 |z Taylor & Francis eBooks (Complete Collection): 2022 |