Business Intelligence (BI) tools are by nature not capable of handling all this unstructured information. Information Intelligence, bringing contextual enrichment, is required to unveil the value of this huge source of information.
The why and what of BIG DATA
Customer-centric organisations possess a lot of data but relatively very little intelligence about their customers.
BIG DATA is a rather new concept for the assembly of all the data a company or other type of organisation collects with regard to operations, sales, production etc.
Despite what the majority of people think, BIG DATA contains not only data. The biggest volume of information does not consist of structured data, but of unstructured (textual) information. Even the structured data contains bits and pieces of unstructured textual information.
The traditional approach to BIG DATA today is to implement a technical solution in 2 phases. The first is to construct a data warehouse; the second to collect BI tools to analyze the huge data volume.
In doing so, an organisation misses around 80% of the value of its efforts. A BI tool looks only to the data part of BIG DATA, and misses the unstructured textual part.
Use of automatically added Information Intelligence
Everybody can search, but very few find their answers instantly.
TiNK® technology makes it possible to search in a contextual way, just like the human brain does. We combine cognitive properties with keywords. Thanks to this combination, users finally FIND instead of merely search.
Dynamic Virtual Folders
Unlike a traditional file system, document management system or enterprise content management system, TiNK® does not work with a fixed folder structure; it uses dynamic virtual folders instead. These offer you the possibility to present the enriched content in a tree structure that best meets your personal wishes and needs at that moment.
Knowledge Watchers notify you when information becomes available that corresponds to certain predefined profiles. These profiles are created on the basis of context elements. So, instead of defining formal processes and flows, you define profiles of responsibilities and interests for users.
Today, your internal processes are complex due to the integrated exception handling. This makes them hard to maintain and difficult to execute.
With contextual workflows, we use the context of a case or document to dynamically define the details of a process. As a result, your workflow definitions are reduced to the essentials, and people do not have to worry about complex exceptions.
A total BIG DATA solution that delivers value
By adding TiNK® Automatic Information Intelligence to your BIG DATA environment, you get contextual smart unstructured (textual) information.
This enriched content is much more valuable to your organisation.
TiNK® delivers true BI for unstructured information as the content becomes usable and valuable:
· improved decisions
· reduced risks
· better informed
· faster detection of opportunities
· customer profiles
CEO - Hans Van Heghe