DocumentCode
2326553
Title
Gaining Insight to Customer Behavior based on Time Series Data
Author
Xiao Wei-Ping
Author_Institution
Sch. of Comput. & Commun., Hunan Inst. of Eng., Xiangtan, China
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
5
Abstract
The success of customer relationship management is dependent upon the organization´s ability to truly understand the individual customer and market to them with the optimal product, message and channel. An essential component of this one-to-one marketing strategy is the creation and deployment of a robust customer segmentation system. Through the use of powerful time series data and sophisticated data mining and statistical techniques, organizations can gain valuable insight into the motivation behind customer behaviors. This shift will allow organizations to create products based on the customer´s needs and desires and develop more profitable and longer-term customer relationships.
Keywords
customer relationship management; data mining; statistical analysis; time series; customer relationship management; customer segmentation system; one-to-one marketing strategy; sophisticated data mining; statistical techniques; time series data; Communication system control; Companies; Credit cards; Customer profiles; Customer relationship management; Data engineering; Data mining; Industrial relations; Power system management; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5137987
Filename
5137987
Link To Document