000 | 01499nam a2200217 4500 | ||
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005 | 20250220214036.0 | ||
008 | 250220b |||||||| |||| 00| 0 eng d | ||
020 | _a9781529768725 | ||
082 |
_a658.8342 YIL _bYIL |
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245 | _aApplied marketing analytics using R | ||
260 |
_aLondon: _bSage Publications Pvt. Ltd., _cc2023. |
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300 | _axiv, 369p. | ||
500 | _aIncludes bibliographical references and index. | ||
520 | _aMarketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. | ||
650 | _a Industrial marketing | ||
650 | _aMarketing Data processing | ||
650 | _aMarketing Statistical methods | ||
650 | _aR (Computer program language) | ||
700 |
_aKubler, Raoul _eAuthor |
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942 |
_2ddc _cC |
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999 |
_c30349 _d30349 |