Research on the Construction of RFM User Portrait Based on Data Warehouse
With the advent of the big data era,enterprises would have to develop rapidly and per-sistently depending on their customers.It is necessary to understand the needs of different customer groups through massive data mining,respond quickly to changing customer expectations,and provide personalized services to them.In order to meet the needs of enterprises to obtain higher customer val-ue,based on the data of telecom operators and combined with RFM model,the paper proposes a meth-od for constructing user portrait,classifying different customer types based on hyper-segmented customer tags,realizing self-service multi-dimensional analysis and demand exploration of customer groups,and providing guidance methods for enterprise precision marketing.
NETL
NSTL
万方数据
