Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
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This Author published in this journals
All Journal International Journal of Information Technology and Computer Science Applications (IJITCSA)
Kabindra Marhatta
Department of Computer Science and Engineering, Kathmandu University, Nepal
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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Data Analysis Using Cluster and Logistic Regression Analysis (A Case Study) Puspa Byanjankar; Kabindra Marhatta; Yushma Himanshu
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 1 (2023): January - April 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (861.762 KB) | DOI: 10.58776/ijitcsa.v1i1.14

Abstract

Customer loyalty has been a concern to C&M. C&M implements logistic regression and cluster analysis to tackle customer churn on consulting services and products. Logistic regression analysis predicts whether chemical manufacturers and small personal services will purchase consulting services and training products with discount reduction in 18 months. Their pur-chase choices every 18 months are influenced by discounts or non-discount. Cluster analysis groups purchase power based on the age group. It forecasts business client’s transaction through purchase duration and frequent purchase on consulting services and items. Thus, C&M builds a long-term relationship with chemical manufacturers and small personal ser-vices by creating customer satisfaction on our consulting services and products.
Co-Authors Puspa Byanjankar Yushma Himanshu