Data Analytics for Customer Relationship Management: Improving Business Strategies
  • Author(s): Dr. Mahesh Singh ; Dr. Manoj Kumar Rao ; Dr. Manoj Bharatram Pandey
  • Paper ID: 1704998
  • Page: 426-434
  • Published Date: 30-08-2023
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 7 Issue 2 August-2023
Abstract

- The primary objective of this paper is to present a holistic and usefully managerially oriented perspective on customer relationship management (CRM) as a kind of company strategy. The primary goals are as follows: to investigate the beginnings of CRM, its subsequent development and the changes that have taken place over the course of time, as well as to outline its future directions; to evaluate the many different definitions of CRM and select the one that most accurately captures the essence of CRM; to investigate the components of CRM; to develop a structure that guarantees CRM is approached in a strategic, balanced, and integrated manner; to define CRM strategy; and to locate CRM strategy within the who, what, where, when, why, The article offers recommendations for effective CRM strategy applications. This study article makes an attempt to analyse researches on Big Data Analytics, Data Mining methods, and "Big Data Analytical Frameworks that may be employed in Customer Relationship Management. The purpose of this study is to present existing uses of Big Data in Customer Relationship Management, as well as their problems, limits, and potential future prospects in this sector by analysing the aforementioned research.

Keywords

CRM, Business, Analytical

Citations

IRE Journals:
Dr. Mahesh Singh , Dr. Manoj Kumar Rao , Dr. Manoj Bharatram Pandey "Data Analytics for Customer Relationship Management: Improving Business Strategies" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 426-434

IEEE:
Dr. Mahesh Singh , Dr. Manoj Kumar Rao , Dr. Manoj Bharatram Pandey "Data Analytics for Customer Relationship Management: Improving Business Strategies" Iconic Research And Engineering Journals, 7(2)