DocumentCode :
710148
Title :
Advanced analytics on SAP HANA: Churn risk scoring using call network analysis
Author :
Bracher, Shane ; Holmes, Mark ; Mischewski, Liam ; Islam, Asadul ; McClenaghan, Michael ; Ricketts, Daniel ; Neuber, Glenn ; Hoyoung Jeung ; Vijayarajendran, Priya
Author_Institution :
Strategic Customer Engagement, SAP Labs., Brisbane, QLD, Australia
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1400
Lastpage :
1403
Abstract :
We present a demonstration based on SAP HANA to show a novel approach to churn risk scoring. Our focus is customer retention within a telecommunications setting. The purpose of this demonstration is to help identify customers who should be targeted for a customer retention marketing campaign. The data analysis considers multiple factors - churn likelihood (based on incoming and outgoing communications), customer influence (based on social connections) and the average revenue per customer. The results are presented using skyline visualization and advanced UI techniques to easily and intuitively interpret the analysis.
Keywords :
customer services; data analysis; data visualisation; marketing data processing; social sciences computing; telecommunication industry; user interfaces; SAP HANA; advanced UI techniques; average revenue per customer; call network analysis; churn likelihood; churn risk scoring; customer influence; customer retention marketing campaign; data analysis; incoming communications; outgoing communications; skyline visualization; social connections; telecommunications setting; Analytical models; Companies; Data analysis; Data models; Electric breakdown; Social network services; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113386
Filename :
7113386
Link To Document :
بازگشت