Analysing customer profiles using data mining techniques

Survival on the market and competitiveness of the companies often depend on the knowledge of spending pattern and customer preferences. Certain information can be extracted from the customer profiles, as for example, which products a particular customer or a group of customers prefers, what are the characteristics of the loyal customers, whether age, income, marital status or other factors have an impact on buying preferences. We use several data mining techniques, such as Bayesian network, decision tree and neural network, to determine the factors that affect the spending pattern and buying preferences of the customers.