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

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

Anil Kumar, Manoj Kumar Dash, Shrawan Kumar Trivedi, Tapan Kumar Panda
Copyright: © 2017 |Pages: 428
ISBN13: 9781522509974|ISBN10: 1522509976|EISBN13: 9781522509981
DOI: 10.4018/978-1-5225-0997-4
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MLA

Kumar, Anil, et al., editors. Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0997-4

APA

Kumar, A., Dash, M. K., Trivedi, S. K., & Panda, T. K. (Eds.). (2017). Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics. IGI Global. https://doi.org/10.4018/978-1-5225-0997-4

Chicago

Kumar, Anil, et al., eds. Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0997-4

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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.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Business Information Systems and Analytics (ABISA) Book Series
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Editorial Advisory Board and List of Reviewers
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Preface
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Acknowledgment
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Chapters
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Consumer Analytics: Fuzzy Applications
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Computational Intelligence: Business Analytics
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Consumer Analytics: Multi-Criteria (MCDM) Applications and Sentiment Analysis
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Marketing Analytics: Digital Market Place
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Advanced Modelling Applications: Business Analytics
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Back Materials
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Compilation of References
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About the Contributors
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Index
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