Enhance your fraud system by mining relationships between entities. Stop looking at activities, behaviors, individuals and entities in isolation, and provide context to your data to increase fraud detection accuracy by up to 90% and decrease false positives by up to 50%.
Uncover up to 90% more fraud by fusing your machine-learning model with graph analytics.
Use graph anayltics to explain how the fraud was orchestrated to increase the credibility of your claims.
Discovering hidden patterns in your data to get a broad context of the users' activities will allow you to quickly process genuine claims.
When financial losses in the form of fraud are a constant threat to your business, you may choose to tread lightly. But not taking risks is just another way of losing profits. Instead of being overly cautious, use the right tools. Graph databases are exactly the right tool to deal with social processes with complex interactions and will allow you to be one step ahead of the fraudsters and efficiently detect fraud.
Handling real-time, highly concurrent, write-heavy data transactions is what Memgraph is all about.
C++ in-memory architecture gives Memgraph a massive head start for any real-time graph analysis needed. Don't just take our word for it, check out the benchmark results and validate them for yourself!
High Availability is a major concern for developers. Through Memgraph's open source commitment, high availability is available to all developers through the Community Edition.
No need to fork out cash and the Enterprise licence to get an uninterrupted and continuous graph database system.
Memgraph is a natural drop-in replacement as it is Cypher-ready.
There are multiple drivers to connect to the DB and allowing you to write custom procedures in various languages (Python, C/C++).
Fire up your instance on-prem or on AWS Cloud with a two-week free trial.
If your data is trapped inside tables and you can’t seem to get satisfying answers to questions that would enhance your business, it’s time to switch to graph databases. Here are three main reasons why!