The acronym ITSM isn’t always well understood in day-to-day management—perhaps because it gives a rather grand name (Information Technology Service Management) to what most people intuitively just call support, or at best IT support.
What’s interesting is that ITSM is actually a fertile ground for process mining.
In our experience, the insights you can extract from how predefined methods are executed (are they really being followed?), how SLAs are stretched just enough to be met—but not necessarily to resolve the issue—and how execution differs between teams, are often fascinating. The range of cases from which you can derive value is enormous.
To dig deeper into this space, we’ve had an excellent idea, executed with an even more excellent partner: together with Tecnofor, who now becomes our specialized implementation partner, we’ve developed a connector to extract data from Jira Service Management and import process information in a simple and fast way.
You can try it at no cost—just watch how it works in this short video.
Why Tecnofor?
We could give the obvious answer: because they’re the best in the world when it comes to Atlassian. That wouldn’t be a lie—but the real reason is more down-to-earth: working with Pablo Grueso, their CEO, and the rest of the team is incredibly smooth, and everything just clicks without the need for complicated paperwork.
If you use Jira-JSM, give it a try—we’re sure you’ll find it valuable.
You can register for our free version here.
If you don’t want to go it alone, Tecnofor and Inverbis have also developed a use case that clearly shows what you can expect and how to proceed: contact us and we’ll show it to you live.
Check some of our videos:
- New ➽ ICU discharges: where time slips away
- Fast Track vs Standard Path: Which is Better for Diagnosing Colorectal Cancer
- What causes discards in parenteral nutrition preparation? Key factors revealed!
- How Process Mining Uncovers Medication Administration Issues
The Prompter.io is our open project to share our experience—and that of others—in integrating language models and data-to-text techniques into process intelligence. Don’t miss it!
