Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond.

Trying to modernize monolithic legacy applications is hard: these applications are core drivers of the business and the risk of messing them up is too great.

Software and web developers often wear many hats, but some lack the knowledge to design or collaborate effectively with UX designers and researchers.

When it comes to data-driven user interfaces, like those utilizing graph data, it’s vital to understand your users and what they’re trying to achieve.

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

Ever wonder about the best way to visualize your application’s data sets?