Your new solution is live. But the first first error quickly exposes a lack of clear ownership. Where is the documentation? How do we fix this? And suddenly, everyone is looking at you.
This is a frustratingly familiar scenario for many IT and data managers. Because a successful go-live does not automatically mean that a solution will keep running smoothly. Especially not in today’s complex tech landscapes.
In data projects, the focus is naturally on building. As soon as a pipeline or dashboard functions, responsibility shifts to other teams. They are expected to support users and resolve incidents.
However, these teams are often involved too late in the process. As a result, they start at a disadvantage: without complete runbooks, without proactive monitoring and without clear ownership. Each new solution then becomes an exception that adds extra pressure.
Moving toward a predictable system requires a structured approach. Standardizing processes around changes, incidents, and handovers from day one ensures that go-live brings calm instead of chaos.
On Thursday, June 25, we will break this cycle using a recognizable, real-world scenario. This is not a theoretical ITIL lecture, but a session packed with actionable management insights to help you stay in control of your data environment long after project teams move on.
This webinar is specifically designed for managers, data leads, and IT decision-makers responsible for the operational reliability and scalability of their data landscape.
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