Customer Personality Analysis using Segmentation and Exploratory Data Analysis

Authors

  • Ramakrishna Regulagadda Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh- 522502, India
  • A. Pankajam Associate Professor, Department of Business Administration, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
  • Syed Ziaur Rahman Professor, Faculty of Information Technology, Majan University College, Sultanate of Oman
  • D. Rajendra Prasad Professor, Department of ECE, St. Ann's College of Engineering & Technology, Chirala- 523187, Andhra Pradesh, India
  • Hari Kishan Chapala Professor & Head, Department of CSE- AI & ML, St. Ann's College of Engineering & Technology, Chirala, Andhra Pradesh, India
  • Valeti Nagarjuna Assistant Professor, Department of Computer Science and Engineering, Kallam Harinadhareddy Institute of Technology, Chowdavaram, Guntur, Andhra Pradesh- 522049, India
  • Ankur Gupta Assistant Professor, Department of Computer Science and Engineering, Vaish College of Engineering, Rohtak, Haryana, India

Keywords:

Customer Personality Analysis, Segmentation, Exploratory Data Analysis

Abstract

Customer Personality Analysis using Segmentation and Exploratory Data Analysis is a comprehensive study that leverages data-driven techniques to gain insights into consumer behavior and preferences. In today's competitive business landscape, understanding customers at a granular level is paramount for personalized marketing and improved customer experiences. This research employs segmentation methodologies and exploratory data analysis (EDA) to categorize and analyze customers based on their characteristics, behavior, and preferences. By dissecting large datasets, this study uncovers hidden patterns, identifies customer segments, and offers actionable recommendations for businesses to tailor their products, services, and marketing strategies to meet the diverse needs and expectations of their customer base. The findings of this research empower organizations to make informed decisions, enhance customer satisfaction, and drive sustainable growth in an increasingly data-centric business environment.

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Published

10.11.2023

How to Cite

Regulagadda, R. ., Pankajam, A. ., Rahman, S. Z. ., Prasad, D. R. ., Chapala, H. K. ., Nagarjuna, V. ., & Gupta, A. . (2023). Customer Personality Analysis using Segmentation and Exploratory Data Analysis. International Journal of Intelligent Systems and Applications in Engineering, 12(4s), 794–800. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3864

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