Webinar: Best Practices to Fix a Fragile Data Platform

As long as standards, monitoring and deployment are not structurally in place, failing pipelines and unreliable data are not exceptions. They are the result of how your platform is set up. This might sound familiar:

• A small change in one pipeline breaks something else, and nobody knows exactly why.
• Releases feel like a risk, because only that one colleague knows how everything fits together.
• Data arrives late, is inconsistent, or both. Analysts build workarounds just to get their reports across the finish line.
• You have no overview of which pipelines are running, which are failing, and what the impact is.
• Maintenance costs keep growing, but stability doesn’t. Every new addition makes the platform a little more fragile.

Why this keeps happening

Most attention goes to building new pipelines and adding new sources. Once they run, responsibility shifts to the teams who need to maintain, monitor and fix them. Too often, they start without clear standards, without automated checks and without defined ownership. That is how every new addition increases complexity instead of capability. Not because people make mistakes, but because the platform was never designed to scale.

What it takes to make your platform robust again

In this session, we show how to turn a fragile data platform into a stable, scalable foundation. Step by step, we cover:

• Which parts of your data infrastructure can improve
• How the optimal setup for data processing and pipelines should look like
• How to put standards for deployment, security and governance in place
• What your next best step should be

Who is this for?

For managers who want predictable delivery, less operational risk and control over costs. And for analysts and engineers who want to work with data that is stable and timely, without workarounds.

Practical details:

• Date: 5 May 2026
• Time: 10:00 – 10:30
• Location: Online
• Language: Dutch
• Cost: Free