Compliance with anti-money laundering regulations is a challenge, and companies in industries like sports-betting and real estate face strict auditing and reporting requirements. Using the Neo4j graph database and an application platform called Structr, KERBEROS Compliance built a solution that eases compliance for these companies.
In this week’s five-minute interview (conducted at GraphConnect 2018 in NYC), we spoke with Christian Tsambikakis about why KERBEROS Compliance chose to build its product on Structr and Neo4j.
How do you use Neo4j?
Christian Tsambikakis: Neo4j and Structr are at the core of our service portfolio. We do compliance management with the vast portfolio of services we bring to our customers. This is all combined in the database, which is based on Neo4j and Structr as an application platform.
What made you choose Neo4j?
Tsambikakis: I think the challenge for us in which database we would choose was basically how can we visualize loads of data? How can we show it most effectively to our customers and to the lawyers working with our product?
In the end, the visualization and the aspects Structr puts on top of Neo4j as a foundational platform was key for us.
What do you think is in store for the future of graphs?
Tsambikakis: I think in our industry (which is compliance for the non-financial sector), graph databases haven’t even begun to reach their full potential.
For example in our market in Germany, I don’t think there is any company really using it outside the financial sector. We are going first. We think we can be pioneers in an industry that will then be reliant on those kinds of visualizations and platforms.
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