The scenarios where intelligence can be implemented are very varied. It is considered essential in a large number of organisations, highlighting its utility in sectors as diverse as can be industrial and commercial competitiveness, financial research or support for security, not only at corporate level but in government bodies as may be the police forces.
Predicting future trends, planning strategies, detecting patterns in fraud, performing research or designing early warning systems are some of the many applications that ORAK has thanks to its use both from a tactical as well as strategic point of view.
Among other applications we can mention:
- Competitive intelligence.
- Strategic planning.
- Financial intelligence, especially detection of money laundering or fraud schemes.
- Business intelligence, particularly when there are external factors of relevance to consider.
- Law enforcement and corporate security.
- Investigation in general (criminal, patrimonial, etc. ..).
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.
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.
MULTIPLE DATA SOURCES
Orak 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 (Microsoft Excel, Access, text files, etc. ..) or by direct connections to servers from external databases (Microsoft SQL Server, Oracle, IBM DB2, MySQL, etc. .. ).
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.
In ORAK 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.
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.
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.
SOCIAL NETWORK ANALYSIS
Another way to analyse the flows is through the integrated tool for social network analysis, which can be used both with the internal information of the platform as well as directly on compatible external files.
The study of social networks is of great interest in various fields ranging from research to management of knowledge in companies. It basically consists of measuring the association of the relationships and flows between different entities, which tend to be individuals, companies, groups, organisations, bank accounts, computers, transport, websites, etc. … but generally any type of entities that interact in some way or exchange something in what is considered a network.
The analysis of the network allows not only the properties of this to be known but to highlight the position of each of its players, that is, to identify and highlight those that are more relevant, more popular, more active, more influential … and in an automated way. It is also possible to discover hidden links which at first glance would otherwise go unnoticed.
Given that the analysis of social networks is usually applied to large volumes of information (thousands and thousands of data), the use of specific tools is essential for their study.
The platform supports dynamic type social networks, allowing both animations to be built that show the status of the network evolve in time, as well as taking still pictures of specific times or summarise their information.
However valid that information it must always be updated sooner or later. The built-in scheduler allows the assignment of tasks, whether of acquisition or analysis, to different users, by having a customised agenda of the work to be done.
A contemporary visual design, with almost copycat appearance to the most recent computer applications (for example, Microsoft Office) makes ORAK’s handling very intuitive, ending up with a lesser learning curve.
Many operations are carried out with a simple touch of a mouse, such as adding new information, linking existing elements, or acting on tabulated data, where a simple gesture allows you to filter, sort or group rows and columns on the go.
Although in the majority of the tasks the information is managed visually, the traditional forms have not been completely forgotten and alternative wizards are also provided to enable a more classic treatment of the information.
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.
A scalable architecture allows the platform to be used both on an individual basis on a laptop as well as in more complex computer networks, with ability to scale to corporate systems using centralised database servers.
Unlike other products, ORAK has been developed specifically for Windows environments, taking full advantage of the intrinsic characteristics of the operating system and integrating into it. In fact, it seamlessly integrates with the latest versions, including, for example, attachable panels, dragging actions and dropping files from the desktop, touch screen operation so that the display can be managed with movements on the screen, etc. ..
Additionally, it provides high performance, with specific versions for 32-bit and 64-bit systems, allowing in the latter case an unlimited access to the system’s memory.
Some algorithms have also been parallelised, in particular in the treatment of social networks, increasing the processing speed when the system has multiple processors or cores, which is of special importance in the management of complex networks, streamlining certain processes depending on the hardware on which it is installed.