The growing complexity of data-driven investigations exposes organizations to serious risks because of undetected threats. With data scattered across tools and databases, investigation teams fighting cyber attacks, financial crime or national security threats are struggling. The graph approach offers a unique way to tackle these issues but also brings new questions. How to make sense […]
This post is part of a series of 3 articles about the GraphTech ecosystem. This article is the third and last part. It presents the ecosystem of graph visualization software, applications and libraries. The first part is about the landscape of graph databases and the second part covers the graph analytics ecosystem.
This post is a series of 3 articles about the GraphTech ecosystem, as of 2019. This article is the second part of the series and covers the graph analytics landscape. The first part is about graph databases, and the third part will list the existing graph visualization tools.
This post is part of a series of 3 articles about the GraphTech ecosystem. This article is the first part and covers the graph database landscape. The second part is about graph analytics frameworks and the third part lists the existing graph visualization tools.
Combating money-laundering, fraud or cyber-crime is now a data-driven job. As we gather and analyze more and more data, the opportunity to find evidence of wrongdoings increases. But with large, inconsistent and scattered data sources, extracting insights is a challenge for many organizations.
Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in this post through 5 benefits of graph visualization and different use cases.