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

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

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1889-1908
Number of pages20
JournalEconomic Research-Ekonomska Istrazivanja
Volume33
Issue number1
DOIs
Publication statusPublished - 01-01-2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

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