Data Mining Concepts
Nowadays companies spend vast amounts of
time and effort in capturing data about their
businesses. For example, information about
clients, suppliers, employees, projects, invoices and budgets is routinely
recorded.
Unfortunately, all too often this information is held in many disparate systems and is difficult to consolidate. Ad hoc reporting is frequently impossible without diverting specific programming resources from other projects. Such an environment makes automated fraud detection impractical and not cost effective.
IDM will review the information held within a company's corporate databases and recommend the most cost effective solution to provide an automated fraud detection capability. The solution will include; an analysis of internal information, comparisons against known fraud profiles and testing against external reference databases.
The following animation represents IDM's unique approach to
data mining. 