Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

J Kozak, K Kania, P Juszczuk, M Mitręga - International journal of …, 2021 - Elsevier
One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …

A business intelligence perspective for churn management

H Singh, HV Samalia - Procedia-Social and Behavioral Sciences, 2014 - Elsevier
This study looks into the issue of Churn faced by various competitive industries (like
telecom) from the perspective of Business Intelligence (BI). The presented work with the help …

[HTML][HTML] E-commerce customer churn prevention using machine learning-based business intelligence strategy

J Shobana, C Gangadhar, RK Arora, PN Renjith… - Measurement …, 2023 - Elsevier
Businesses in the E-Commerce sector, especially those in the business-to-consumer
segment, are engaged in fierce competition for survival, trying to gain access to their rivals' …

Intelligent data analysis approaches to churn as a business problem: a survey

DL García, À Nebot, A Vellido - Knowledge and Information Systems, 2017 - Springer
Globalization processes and market deregulation policies are rapidly changing the
competitive environments of many economic sectors. The appearance of new competitors …

Emergent self-organising feature maps used for prediction and prevention of churn in mobile phone markets

A Ultsch - Journal of Targeting, Measurement and Analysis for …, 2002 - Springer
Typical approaches to customer relationship management (CRM) construct a black box
model for the prediction of churning. The approach presented here aims at new insights into …

Competitive intelligence for SMEs: a web-based decision support system

ST Ponis, IT Christou - International Journal of Business …, 2013 - inderscienceonline.com
The development of decision support systems facilitating competitive intelligence (CI) for
SMEs is a rather under-explored research area. That is exactly where this paper sets its …

Measuring the impact of data mining on churn management

MAPM Lejeune - Internet Research, 2001 - emerald.com
Churn management is a fundamental concern for businesses and the emergence of the
digital economy has made the problem even more acute. Companies' initiatives to handle …

[HTML][HTML] Churn management in telecommunications: Hybrid approach using cluster analysis and decision trees

M Pejić Bach, J Pivar, B Jaković - Journal of Risk and Financial …, 2021 - mdpi.com
The goal of the paper is to present the framework for combining clustering and classification
for churn management in telecommunications. Considering the value of market …

Determining the intervening effects of exploratory data analysis and feature engineering in telecoms customer churn modelling

AS Halibas, AC Matthew, IG Pillai… - 2019 4th MEC …, 2019 - ieeexplore.ieee.org
The telecoms industry is a highly competitive sector which is constantly challenged by
customer churn or attrition. In order to remain steadfast in the consumer business …

Investigation of customer churn insights and intelligence from social media: A netnographic research

J Bhattacharyya, MK Dash - Online Information Review, 2021 - emerald.com
Purpose The purpose of this paper is to investigate the distinct reasons and more common
reasons that reduce customer satisfaction and are antecedents to customer churn behavior …