000 | 01887 a2200265 4500 | ||
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003 | JGU | ||
005 | 20220805120023.0 | ||
008 | 220805b |||||||| |||| 00| 0 eng d | ||
020 |
_a9781352007251 _qpbk. |
||
035 | _aJGU | ||
040 | _beng | ||
041 | _aeng | ||
100 |
_aVidgen, Richard, _9849063 _eauthor |
||
245 |
_aBusiness analytics : _ba management approach / _cRichard Vidgen, Sam Kirshner and Felix Tan. |
||
260 |
_aLondon : _bBloomsbury Academic, _c2022. |
||
520 | _a"This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics."-- | ||
650 |
_aManagement, _xStatistical methods. _933749 |
||
650 |
_aBusiness intelligence. _931024 |
||
650 | _aData mining. | ||
700 |
_aKirshner, Sam, _eauthor _91635246 |
||
700 |
_aTan, Felix, _eauthor _91635247 |
||
999 |
_c2517383 _d2517383 |