DATA MINING TECHNOLOGY AND ITS APPLICATION TO THE SALES OF COMPUTER PRODUCTS

In continuously developing computer products market, data mining technology has become one of the best in analyzing and optimizing sales strategies. This research aimed to obtain detailed information from complex sales datasets, and analyze them, predict the trends and help the further sales of the computer products. In the improving the sales of the computer products, this study shows the power of data mining technology by showing K-Means Clustering algorithm and how it effects the sales of computer products. This research helps to transform raw sales data into meaningful datasets which contains useful data for examining customer behavior. Market dynamics also play an important role when trying to increase the sales, so this research helps us to examine the market dynamics on the way. Predictive models will be developed so that they help us to do all the mentioned thing and achieve our goal. The importance of data mining is getting bigger and bigger so implementing it to the field where we want to achieve high results, which is the sales of computer products, will seemingly help us in the way. Using different methods of data mining technology, such us clustering using different algorithms helps us in different aspects, such us categorizing the customers and spending ad budget in an efficient way.