Investigating the Role of Big Data Analytics in the Optimization of Customer Relationship Management Systems

This review explores how the advancements of Big Data have impacted CRM in terms of both opportunities and threats. There is a gap in the use of big, various data to enhance customer relationships and loyalty, handling data issues, such as privacy or quality, and a scarcity of qualified analysts. This article discusses how incorporating high-level CRM analytical tools, including predictive analytics, sentiment analysis, and real-time data processing, can change CRM. Some of these frameworks include the ability to target individual market segments, estimate customer attrition rates, and improve customer care by analyzing structured and unstructured data. Examples drawn from real life, including Amazon and Netflix, show that such solutions are feasible to implement in the real world. Their benefits, such as improved customer satisfaction, loyalty, and business success, can be gauged. This research underpins the role of Big Data in building sustainable, responsive CRM strategies that support business evolution and customer value.

Authors

Institutions

Publication Details

Published
2025-06-28
DOI
https://doi.org/10.1109/icipca65645.2025.11138827
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Role of Big Data Analytics in the Optimization of Customer Relationship Management Systems

Qiao Li
Big Data and Business Intelligence
article

Investigating the Role of Big Data Analytics in the Optimization of Customer Relationship Management Systems

Qiao Li
article en

Abstract

This review explores how the advancements of Big Data have impacted CRM in terms of both opportunities and threats. There is a gap in the use of big, various data to enhance customer relationships and loyalty, handling data issues, such as privacy or quality, and a scarcity of qualified analysts. This article discusses how incorporating high-level CRM analytical tools, including predictive analytics, sentiment analysis, and real-time data processing, can change CRM. Some of these frameworks include the ability to target individual market segments, estimate customer attrition rates, and improve customer care by analyzing structured and unstructured data. Examples drawn from real life, including Amazon and Netflix, show that such solutions are feasible to implement in the real world. Their benefits, such as improved customer satisfaction, loyalty, and business success, can be gauged. This research underpins the role of Big Data in building sustainable, responsive CRM strategies that support business evolution and customer value.

Hebei University of Science and Technology (CN)
Openalex Percentile: Top 61%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigating the Role of Big Data Analytics in the Optimization of Customer Relationship Management Systems — Qiao Li · (2025) | TGRS Research Map | TGRS