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

The solution is live, but at the very first disruption, it becomes clear that nobody knows who owns the incident, where the documentation is kept, or how to resolve it. This is a frustratingly familiar scenario for many IT and data managers. Unfortunately, hitting the deployment milestone does not guarantee that a solution will transition smoothly and stably into your existing tech landscape.

Why This Pattern Repeats

In data projects, the primary focus naturally lies on building. As soon as a pipeline or dashboard functions, the workload shifts to teams responsible for supporting users and resolving incidents. When operations teams are involved too late, they start at a disadvantage—lacking proper runbooks, proactive monitoring, and clearly defined ownership. Consequently, each new solution becomes an operational exception that drives up maintenance costs.

Moving toward a predictable ecosystem requires a structured approach. Standardizing processes around changes, incidents, and handovers from day one ensures that going live delivers stability instead of operational friction.

Practical ITIL Principles Without the Dry Theory

During this 20-minute webinar on Thursday, June 25, we will deconstruct this cycle using a realistic, real-world scenario. This is not a theoretical ITIL lecture, but a session packed with actionable management insights to help you maintain complete control over your data environment long after project teams move on.

Webinar key takeaways:

• Operational Stability: Learn exactly how and when to engage support teams during the development phase to eliminate documentation gaps and deployment issues.
• Proactive Standards: Gain a clear strategic framework to structure monitoring, ownership, and change processes so that disruptions are minimized or intercepted early.

Who is this webinar for:

This webinar is specifically designed for managers, data leads, and IT decision-makers responsible for the operational reliability and scalability of their data landscape.

Practical details:

• Date & Time: Thursday, June 25, 2026 | 10:00 – 10:20 CEST
• Location & Language: Online via live stream (interview format), English spoken