AprilTalks presents: Use Case #2 – Process Mining in IT Service Management

Darmstadt, 28.02.2019 – The AprilTalks are getting closer and closer – in one month the time has come! Until then, we’ll keep you updated with new content, so you know exactly what to expect.

Today, we focus on IT service management. How do companies manage to increase their efficiency, improve process quality and increase their profitability? Process Mining answers all these questions.

Ian Bradley, CEO of our partner Metricus, specializes in this field of application. In his lecture he presents the topic Process Analysis for IT Service Management using the example of the customer Ramboll in Denmark. As part of this project, Metricus has implemented Process Mining for Incident Management as a core process within IT Service Management. ServiceNow audit log data is used for a comprehensive process analysis. Increased transparency helps identify inefficient processes at Ramboll, increases overall compliance, and reduces solution times. The result: cost savings and increased customer satisfaction.

Do you want to learn more? Then join us on March 28th! Visit the website of the event – there you will find the agenda, as well as more information about the lectures and speakers.

About Metricus

Since 2007, Metricus has provided solutions and services that help companies maximize the value of their IT. This includes process analytics solutions for service management. Metricus’ expertise combined with leading technologies in the areas of process mining, AI and data visualization enables in-depth analysis of existing service management processes in terms of efficiency, performance, compliance and quality. This helps companies reduce costs and improve service quality. Metricus is represented in locations in Australia and the Netherlands.

About Ramboll

Ramboll is a leading engineering, planning and management consultancy. With more than 15,000 employees and 300 offices in 35 countries, the Danish company is one of the largest international consulting groups.