Customer Profiling – Data Mining helps to determine what kind of people buy what kind of products.
Identifying Customer Requirements – Data Mining helps in identifying the best products for different customers. It uses prediction to find the factors that may attract new customers.
Cross Market Analysis – Data Mining performs Association/correlations between product sales.
Target Marketing – Data Mining helps to find clusters of model customers who share the same characteristics such as interest, spending habits, income etc.
Determining Customer purchasing pattern – Data india call number list mining helps in determining customer purchasing pattern.
Providing Summary Information – Data Mining provide us various multidimensional summary reports
The proposed CRM-data mining framework is understanding the business goals and requirements. An efficient CRM-data mining framework for the prediction of customer behaviour and to generate leads and effectively sales or resales. The system is a multi purpose discovery data tool for Australian NDIS and Aged Care Service providers, one part is to collect data and information of the Aged Care Government portal and collect that data in the data warehouse to action. Another part would be the collecting data to generate leads and up sales.
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