Title :
Gaining Insight to Customer Behavior based on Time Series Data
Author_Institution :
Sch. of Comput. & Commun., Hunan Inst. of Eng., Xiangtan, China
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;
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
DOI :
10.1109/EBISS.2009.5137987