It is the process of accumulating a large amount of information and scanning the useful information. Estimating future customer behavior and identifying models within customer information.
The rapid development of technology enabled us to record many transactions electronically, to save these records and to access them whenever they wanted. Companies want to use the data in the electronic environment for analysis while making future decisions. The data, which stands in stacks in the computer environment, is meaningful thanks to data mining.
Unless data is processed, it is worthless. Stacked data is processed and converted into information. Basically, data is divided into predefined classes according to their attributes. Data mining processes the recorded data in order to gain meaning and transforms it into information. We can use this data that is turned into information in our sales processes.
For example; supermarkets record all information and shopping of their customers. These records, which appear to be meaningless unless processed, can be used to determine the customers' interests and to make more sales to those customers through data mining. Or, if a site where you shop online determines that your buying trend is sneakers and makes a promotion for you new sneakers, you will have a higher buying tendency.
Data Mining Operations
- Data merge
- Selecting data
- Data mining
- Pattern evaluation
- Information presentation
- Data Mining