Necessity of Automated Data Mining

The main reason for the necessity of automated computer systems for intelligent data analysis is the enormous volume of existing and newly appearing data that requires processing. The amount of data accumulated each day by various businesses, scientific, and governmental organizations around the world is appalling and it resulted in data mining process. According to GTE research, scientific organizations store about 1 terabyte of new information each day and managing the database is a real problem. It is impossible for human analysts to cope with such overwhelming amounts of database.

Two problems that surface when human analysts process data are the inadequacy of the human brain when searching for complex dependencies in data, and the lack of objectiveness in their analysis. Therefore, one of the benefits of using automated data mining systems is that this process has a much lower cost than hiring an army of highly trained and paid professional statisticians for data mining.

Although data mining does not completely eradicate the need for humans, it allows an analyst who has no programming and statistics skill to extract knowledge from databases.