Using Data to Level up Performance
TransUnion provides consumer reports, risk scores, analytical services and more for over 1 billion consumers and business customers, including Tier-One financial institutions. Edward Bailey, senior monitoring and operations architect at TransUnion, works with a team of Splunk and other TransUnion engineers, who comprise the enterprise monitoring department. He says, “We use Splunk for a wide variety of use cases from alerting to root cause analysis, reporting, audit and security. Nothing else on the market provides the ability to query such massive amounts of data and quickly pinpoint complex technical issues.”
Bailey’s team looked for ways to improve performance monitoring for external customer traffic and customer volume transactions. Upon discovering Splunk, “We were excited to utilize machine learning to establish our customer activity baseline and help with performance monitoring of our applications,” says Bailey. He brought in Steve Koelpin, lead Splunk developer at TransUnion, and took advantage of the Splunk Machine Learning Advisory Program, which helps customers solve business challenges using Splunk’s Machine Learning Toolkit.