| 000 | 01793nam a2200325 i 4500 | ||
|---|---|---|---|
| 001 | 256401 | ||
| 999 |
_c256401 _d256401 |
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| 003 | TH-BaBU | ||
| 005 | 20250302083355.0 | ||
| 008 | 200820s2021 vaua fob 001 0 eng d | ||
| 020 | _a9780813945163 (electronic bk.) | ||
| 020 | _a9780813945156 | ||
| 040 |
_aDLC _beng _erda _cTH-BaBU |
||
| 050 | 0 | 4 |
_aHF5415.127 _b.V453 2021 |
| 100 | 1 |
_aVenkatesan, Rajkumar, _eauthor. _9166058 |
|
| 245 | 1 | 0 |
_aMarketing analytics : _bessential tools for data-driven decisions / _cRajkumar Venkatesan, Paul W. Farris, and Ronald T. Wilcox. |
| 264 | 1 |
_aCharlottesville, Va. : _bDarden Business Publishing, _c2021. |
|
| 300 | _a1 online resource. | ||
| 336 |
_atext _2rdacontent |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"A textbook on marketing analytics, this book provides practical predictive models in marketing. It strives to strike a balance between highly sophisticated models and managerial relevance. Through the diverse business cases in the book, readers learn how to connect marketing inputs to customer behavior and how to use historic information, experiments, or heuristics to develop forward-looking what-if scenarios and predictive models. The real-life cases include real data, enabling readers to take a hands-on approach to the analysis"-- _cProvided by publisher |
||
| 650 | 0 |
_aMarketing _xManagement. _94770 |
|
| 650 | 0 |
_aMarketing _xStatistical methods. _9153659 |
|
| 650 | 0 |
_aMarketing research. _95148 |
|
| 700 | 1 |
_aFarris, Paul W., _eauthor. _972589 |
|
| 700 | 1 |
_aWilcox, Ronald T., _eauthor. _9166059 |
|
| 856 | 4 | 0 |
_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2661142 _zElectronic Resources |
| 942 |
_2lcc _cEB |
||