Track users with correlated data from multiple log files

As ASU innovates by extending its technological reach into artificial intelligence, augmented reality, machine learning and cognitive computing, the school's computing infrastructure, its mix of cloud-based and on-premises resources, including mainframes, continues to grow. Keeping track of thousands of servers and applications, along with activities of tens of thousands of student and faculty users and then collating and correlating all of that information for viewing and tracking in a single, unified auditable view became a top priority, according to Chris Kurtz, a system architect in ASU's department of university analytics and data services.