Skip to main navigation Skip to search Skip to main content

The Role of Big Data Analytics in Enhancing Customer Interactions and Loyalty

  • Kanhaiya Sharma
  • , Deepak Parashar
  • , Kanchapuram Basavaraju
  • , Dinesh Kumar Singh
  • , Aqsa Kazi
  • , Gunjan Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In today's dynamic digital landscape, businesses are turning to big data analytics to gain profound customer insights and enhance user experiences. This study delves into the transformative impact of big data on businesses' customer interactions. It illuminates how big data enables tailored engagements, refines customer interactions, and fosters enduring loyalty. By assessing the significance of customer insights and user experiences, this research paper showcases big data's pivotal role in reshaping corporate strategies for success. Embracing this technology empowers organizations to personalize interactions, optimize customer engagement, and cultivate long-term customer allegiance. In an era where rapid digital evolution defines market trends, leveraging big data analytics emerges as a strategic imperative, ensuring businesses not only adapt but thrive in this ever-changing landscape.

Original languageEnglish
Title of host publication2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages308-311
Number of pages4
ISBN (Electronic)9798350357769
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 - Greater Noida, India
Duration: 19-12-202323-12-2023

Publication series

Name2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

Conference

Conference2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
Country/TerritoryIndia
CityGreater Noida
Period19-12-2323-12-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Fingerprint

Dive into the research topics of 'The Role of Big Data Analytics in Enhancing Customer Interactions and Loyalty'. Together they form a unique fingerprint.

Cite this