Practical Use of Data Mining Technologies

This bachelor's thesis maps available technologies of extracting knowledge from the raw data. These methods are globally known as Data Mining. Some of these methods are implemented in the second part - proof of concept of Data mining support in sales department. The aim of this work is to identify and implement suitable technologies for answering analytical questions and getting knowledge from data owned by business companies. It should help to improve and optimize business processes and resource utilization. Customer segmentation support and association rules identification are also expected. In the second part are identified possible weaknesses and problems during the process of implementation and deployment of these systems. The work should propose optimal methods of solving these problems or at least modifications in process of implementation to eliminate some vulnerability. The work is divided into two parts -- first is theoretical and maps available methods and second part is about implementation of project in pharmaceutical company. This solution was built using Microsoft SQL Server platform.