Senior Project - DIGAMON

To compete in the highly competitive Internet marketplace, effective marketing techniques are necessary to retain high-value customers. Targeting these customers becomes a business priority. Marketing usually requires some type of demographic or purchasing tendency information about the customer. Instead of querying the customer for such data, KBKids wanted to take a less intrusive approach in obtaining this data, creating customer profiles and marketing strategies based only on customer and ordering database information.

This application uses specific information from existing customer databases to predict and identify high-value customers and shopping trends for marketing analysis. It includes facilities for cleansing raw data (matching purchases made by the same customer using different customer information at different times), market basket analysis (identifying groups of products that were commonly purchased together), segmentation (segmenting the database into clusters according to various attributes) and displaying results (both textually and graphically). The system was developed in Java.