Unlocking the value of connected data with graph technology
Graph technology has become a valuable tool for analysts to follow a trail, uncover fraud networks or identify organized crime activities. Investigating financial frauds involve finding out insights from large amounts of data, which are connected. Elise Devaux, marketing project manager at Linkurious Enterprise, helps us discover the nature and benefits of this new paradigm and see how to unlock the value of connected data.
A graph approach makes sense in financial fraud investigations because data and the questions around it involve connections. In some datasets, the connections are as important as the individual entities. For example, in a money laundering investigation, it is crucial to capture how money flows between individuals and companies. Questions such as “how X and Y are connected”, “what is X connected to”, and “what is the role of X in the network” are ideal for investigating with graphs.
Among the use cases in the financial industry, the most popular are cybersecurity, anti-financial crime or intelligence analysis. In these domains, organizations switching to graph benefit from a unified view of their data instead of blind spots and silos. In addition, it gives organizations the ability to run complex queries without hitting performance bottlenecks.
In conclusion, graphs offer a more complete picture and the ability to detect complex patterns from data. This is invaluable for identifying cases of fraud or other threats from large volumes of data. In addition, the approach leads to the discovery of new threats and faster investigations.
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