In Yappari information is always treated as a single whole, but to be able to work with it practically “cases,” which are subsets of information relevant to a project, are created.
Unlike a file that contains static elements, the cases do not contain information in themselves, but references to information in the database that are dynamically updated. Therefore, the cases are living components showing the current status in real time (when there is a connection to a server).
For the user’s convenience, the cases also allow the secure exchange of information between similar systems by containing all the related data properly packaged and encrypted in a swap file. Pieces of information generated in other devices can also be exchanged, for example, on mobile phones.
Three different perspectives allow the same information to be viewed:
- What: the data is viewed on a conceptual knowledge map where different information available is intuitively listed.
- Where: each object or incident is positioned on a geographic map, which can be viewed generically on internal maps or by accessing all the power of Bing maps with more detailed information and advanced features of geolocation.
- When: a time line shows the events associated with each data point based on their date and time. The evolution of each object can be seen dynamically over time.
Each situation requires a different type of analysis, therefore a unique methodology but a complete library is offered, which is constantly being developed, covering different sectors. The analyst always has a range of techniques at his/her disposal depending on the matter that is subject of analysis.
The library has included by default from types of most classic and common used analysis (A.C.H., SWOT, PESTEL, etc. ..) to other more sophisticated ones (Trend Impact Analysis, Cross Impact Analysis,etc. ..) that offer promising results in the application of intelligence.
A modular design allows new types of analyses to be incorporated in response to specific sectors or customised orders.
The platform introduces the flow concept referring to that information that involves the active interconnection between elements such as a bank transfer, a phone call, sending an e-mail or access to a website.
Specific tools can also be provided for this type of information, which allow us not only to consolidate information, for example movements of money or telephone calls between different accounts held by the same owner, but also view animations that show the direction of flow. These animations can be viewed in both the conceptual and geographical map.
Multiple data sources
Yappari provides a centralised view of information obtained from very different sources. The properly structured information can be incorporated directly by importing it from data files in the most common formats or by direct connections to servers from external databases.
Other information can be introduced directly producing it from workspace files with documents (images, Microsoft Word, Adobe Acrobat files, etc. ) or from the web pages.
Each data can be measured individually, establishing the accuracy and reliability of the information, which indirectly shall lead to the quality of the source being weighed up.
Not all the information entered has to be true: the possibility of introducing hypotheses to the work is also considered, marking them as such, making it more likely that other analysts may reconsider them in their work.
Intelligence is not conceived without a multidisciplinary team. Therefore, the working environment is fully multiuser and cooperative where many analysts as well as information gatherers can simultaneously converge, but always with an adequate compartmentalization.
It is precisely within the data compartmentalization scheme that need-to-know guidelines are implemented, which limit access to only certain users at personal or departmental level and need-to-share that assess the sensitivity of the information and the risks of dissemination, both premises being essential in any organisation, especially when working with sensitive data.
For more information read about its components (case builder, server and viewer).