Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics

This book PDF is perfect for those who love Business & Economics genre, written by Kumar, Anil and published by IGI Global which was released on 25 October 2016 with total hardcover pages 428. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics books below.

Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics
Author : Kumar, Anil
File Size : 47,8 Mb
Publisher : IGI Global
Language : English
Release Date : 25 October 2016
ISBN : 9781522509981
Pages : 428 pages
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Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics by Kumar, Anil Book PDF Summary

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.

Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features

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