Consider, for example, an American startup-up company that has developed sophisticated new data-mining technologies for social networking applications.
Rather, they were marketing managers and other business executives, eager to circumvent the ever-so-slow IT department and have complete control of new applications, especially the new datamining tools that allowed them to gain new insights from the big data explosion of the late 1980s and early 1990s.
Standard datamining focuses on structured data and looks at traditional financial forms such as insurance claims and bank account applications to build a risk profile.