In the statistics field, the trees are often likely to hide
the forest. However, there are mathematical and numerical tools
that assist the analyst in spotting systematic patterns in the
midst of billions of data bits. These tools and methodologies,
known as “data mining”, churn out information and
patterns concealed in large volume of data. INVAP
has successfully broken into this field and currently offers
data mining products and services to prospective customers.
In the domestic market, INVAP
has recently completed an ambitious data mining project with
a private commercial-transactions company. The developed system
was able to crack a large database loaded with information that
was both complex, apparently unintelligible and thus useless.
INVAP carried out the development
of data mining tools suitable for the different output stages
of the project, meant to transform the database in a useful
policy tool. These stages were basically the following: