KOGNIT allows the association of metadata fields to support the classification of the various contents. For example dates, remarks, tags, authors, physical location of books, among many others.

Automatic field filling

Inclusion of tags

Dates, authors, others

Free text

Searches are made both by the combination of file descriptors, which can be the typical Office documents, Images, Videos, as well as on the content of the documents themselves. This way your search is very precise about what you want to find.

Inclusion of Office documents, Images, Pdf, Videos

Combined searches on descriptors

Advanced searches on document contents

Since it is about explicit knowledge, it means that each of the pieces can be classified according to the taxonomy defined in the company. KM ROOX enables a document to be classified using several taxonomies through a very intuitive tree, which enables you to quickly arrive at the element you want. These taxonomies can be combined with document descriptor fields or other contents.

Taxonomy tree

Inclusion of a document in several taxonomies

Using the iManage document management engine, on which the entire KM is based, there are a series of very important statistics, which enable the presentation of the platform's return to society. This way, all operations, whether consulting, downloading, printing, exporting, sending by email, as well as many others, are high of register in the history of movements, making it possible to know which users use which documents, the frequency, most used documents, users with the highest number of submissions and documents to the KM, among many other indicators.

Which users have more publications

Which documents are the most used

What is the frequency of use

Many others