Data mining usage in customer analysis and an application

Retail sector; is the bridge that provides service between consumer and producer. In a world where every brand new manufacturer density increases arises in the competition. Therefore, shopping and contribute to the business of added value to ensure customer loyalty marketing approach. Considering customer shopping habits and needs, in accordance with the customer profile created will increase customer satisfaction and marketing strategies should be developed. The world famous Online retail site customer sales of data sets taken from the ID, country, product name, date and piece of information. That data into data mining an thanks to the habits of customers of methods, according to which these habits day by day is becoming increasingly important. As a result of the clients ' data mining work routinely with the product they can take together products, customer profiles, which product the customer may need and observed seasonal shopping for customers of continental basis.