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Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study

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  • Periyapatna Sathyanarayana Rao Nethravathi
  • Gokarna Vidya Bai
  • Cristi Spulbar
  • Mendon Suhan
  • Ramona Birau
  • Toni Calugaru
  • Iqbal Thonse Hawaldar
  • Abdullah Ejaz

Abstract

This research study contributes towards understanding the customer’s behaviour dynamics. In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. This paper aims at providing further practical guidance in this innovative research field by using a mix of interdisciplinary methods and techniques.

Suggested Citation

  • Periyapatna Sathyanarayana Rao Nethravathi & Gokarna Vidya Bai & Cristi Spulbar & Mendon Suhan & Ramona Birau & Toni Calugaru & Iqbal Thonse Hawaldar & Abdullah Ejaz, 2020. "Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 1889-1908, January.
    • Handle: RePEc:taf:reroxx:v:33:y:2020:i:1:p:1889-1908
    DOI: 10.1080/1331677X.2020.1763822
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    Cited by:

    1. Anca Ioana, Iacob (Troto), 2021. "Investor Sentiment - Theoretical Aspects And Practical Conclusions, In The Context Of The Pandemic Crisis," Management Strategies Journal, Constantin Brancoveanu University, vol. 51(1), pages 122-128.

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