In our examples, we created our database in a limited time, from a single data source. However, it is possible to add data from additional sources to enrich the database, depending on the questions you want to answer. You could add data from phone interceptions or financial transactions, for instance, to identify potential relationships between attacks.
In addition to the examples we’ve given, intelligence analysts can use advanced graph analysis, a set of methods expressly designed to find insights in connected data. There are many algorithms that can be used to identify communities, to spot people who occupy a key position in a network or to understand how information, money, or people flow through a network.
In the end, graph technology enables intelligence analysts to tackle the changes inherent in the big data era. It’s an asset in the processing, storage, and analysis of the complex data collected today. While graph databases are great to aggregate and connect a multitude of sources in one place, a graph visualization and analytics tool like Linkurious Enterprise helps teams of analysts easily find hidden intelligence within large graphs. It highlights connections in the data, allowing analysts to better understand and analyze complex situations. At the end of the day, analysts can better exploit their data to generate high-value insights.