Webinar: These are the ideal steps after implementing your data solution

Many data solutions are going live without major issues. But for managers, that is often where the real question begins: how do you make sure a solution does not just work, but becomes a calm, predictable and manageable part of the existing landscape?

In this session, we look at what it takes to move a new data solution beyond initial implementation and into day-to-day operations in a controlled way. Using a recognizable real-world scenario, we cover the main ITIL-related themes that matter here, such as operational ownership, handover and long-term embedding.

Why this keeps happening

In practice, most attention goes to the initial building phase. Once the solution is up and running, responsibility shifts to the teams who need to resolve incidents, assess changes and support users. Too often, they start without documentation, without monitoring and without clear ownership. That is how each new solution becomes a one-off, with inconsistent quality, higher risk and extra operational overhead.

What it takes to create a stable landscape

In this session, we show how to stop a new solution from turning into a new support issue. Step by step, we cover:

• how and when to involve operations during the build phase
• how to put monitoring, ownership and support in place before going live
• how to standardize change and incident handling so each new solution adds stability instead of noise

That is how you create not only greater stability, but also more predictability across your data and technology landscape.

What you will take away

You will gain a clear management view of what needs to be in place after delivery to make a data solution a sustainable part of the landscape. This is not an ITIL theory session, but ITIL from a practical perspective. It makes clear what is needed to reduce operational noise, clarify responsibilities and keep better control after go-live. That is what makes this session relevant: you can see that new solutions create value in principle, but still depend too much on individual knowledge, ad hoc support and informal coordination once they are live.

Practical details

Date: 14-04-2026
Time: 10:00–10:20
Location: Online interview
Language: Dutch

Want to know more?

Do you want to know what it takes to make a new data solution not just go live, but become a structurally manageable part of your existing landscape. Join this webinar by signing up below!