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Open sources to manage your business as additional information

It helps the analyst to spend less time on the search processes and more on the analysis processes.

We automate the download process by freeing analysts from the task of downloading information.

It allows the increase of the amount of downloaded information by being able to parallelize the information crawling processes.

It allows to store the information and to be able to carry out later analyses even when the original information has disappeared.

It accelerates the reporting process (information dissemination) by helping the analyst with graphics and descriptive analysis of the "social media" reality he is analyzing.

All the analysis that is made of the sources of information can be made individually or in a group to the different digital sources.

In those analysis processes of digital linkage study, it allows the analyst to discover non-obvious relationships between the different actors of the analysis and even allows the analysis to second and third level spheres.

Given the large amount of information downloaded, the variety of sources and formats used, allows the analyst to have a complete view of the situation being analyzed.
Functional Characteristics
FS Crawling
- It offers the ability to obtain information from the Internet with the use of robots capable of simulating human behavior and/or mass downloading of information.
- Tracks and structures all information that may be of interest for later download, in an undetectable and non-intrusive way in the search sources.
- Rapid response to changes in information sources.
- Getting the most out of what the tracked site contains.
- It is always open to third parties via API mechanisms.


Social FS
- It allows real-time monitoring of different open sources, with a four-phase methodology: discover, listen, analyze and report.
- It helps to discover which terminology, which users and which channels are distributing the information analysed.
- It provides real-time listening and stores everything that is of interest.
FS Entities
- It allows to extract and exploit the digital footprint that any entity leaves on a social network.
- It generates a 360º view around the virtual profile based on its activity, relationships and generated content.
- It uses graph-based processing engines to help the analyst detect non-obvious relationships, weak links and the qualification of the environment.


FS Suitability
- It automatically extracts the digital profile of candidates from different open sources of information on the Internet.
- Suggests the possible digital profiles that candidates have in different sources.
- It automatically generates a risk score for each profile.
- It provides an insight into the profile's main tastes and interests, aligned with the data protection policy in force in each country.
- Usability and simplicity, complete review of each profile in just minutes.
This product is part of the support received by Future Space for the development of the project (BigDataFrame) Raid Development Framework for Distributed Information Processing under file number TSI-020603-2012-36
This aid has been granted in the framework of the call for the Strategic Action of Telecommunications and Information Society in the sub-programme Competitiveness R+D belonging to the Ministry of Industry, Energy and Tourism.
The purpose of the aid is to provide a solution to the real-time processing of information flows in response to the problem posed by Big Data Stream and will provide solutions applicable in sectors such as Marketing, Defense, Security, Intelligence, Smart Grids, Smart Cities, among others
