000 | 01908nam a22002057a 4500 | ||
---|---|---|---|
005 | 20240210154352.0 | ||
008 | 240210b |||||||| |||| 00| 0 eng d | ||
020 | _a9780367654191 | ||
082 |
_a658.05 _bANN |
||
100 |
_aAnnansingh, Fenio _914214 |
||
245 |
_aData analytics for business: _bfoundations and industry applications |
||
260 |
_bRoutledge _aOxan _c2022 |
||
300 | _avi, 276 p. | ||
365 |
_aGBP _b39.99 |
||
520 | _aData 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. (https://www.routledge.com/Data-Analytics-for-Business-Foundations-and-Industry-Applications/Annansingh-Sesay/p/book/9780367654191) | ||
650 |
_aBusiness--Data processing _915620 |
||
650 |
_aData mining _913331 |
||
700 |
_aSesay, Joseph Bon _915621 |
||
942 |
_cBK _2ddc |
||
999 |
_c5954 _d5954 |