Session

When Everyone's is a Power BI "Owner": Navigating through chaos of Enterprise Self-Service BI

Making the change from consultancy and world of best practices to in-house hard reality of Power BI administration taught me one harsh truth: when there are too many members & contributors of the workspace, you don't get empowerment—you get chaos. But the right kind of chaos can actually drive innovation, if you know how to navigate it.
This session is about my journey from managing controlled client environments to navigating in the beautiful mess of enterprise self-service BI, where every department thinks they're the exception to the governance rules.

What You'll Learn:
Difference between inhouse and consultancy in Data Engineering, as well as:

1. Why traditional BI governance fails in self-service environments
The psychological shift from "data consumers" to "data owners"
Managing competing priorities when every stakeholder wants their issue to be prioritized.

2. Identifying which fires to fight (and which ones to let burn)
Building flexible frameworks that bend without breaking
The art of saying "no" without becoming the villain

3. Real-World Implementation Insights. Why pilot project success won't scale (and what to do about it)
Managing the inevitable explosion of duplicate reports and conflicting metrics
4. How to Create accountability without micromanagement

5. The Administrator's Evolution. Shifting from controller to consultant within organization

6. How to measure success when everyone defines it differently

Practical Takeaways:
- Template governance policies that actually get followed
- Communication strategies for business stakeholders
- Warning signs that your self-service program is heading off the rails

This isn't another theoretical framework session. These are battle-tested strategies, honest mistakes, and practical solutions from someone who's lived through the transition from order to chaos—and found a way to make it work

Target audience: Power BI Administrators, BI Team Leaders, Data Governance Professionals, Data Engineer, Consultants and in-house
Preferred session duration: 60 minutes (45 min session + 15 min Q&A)
Technical requirements: Standard presentation setup, live demo about Monitor Fabric Capacity and Govern Power BI Tenant with FUAM

Roman Tesolkin

Data Engineer @ Allianz Global Investors

Frankfurt am Main, Germany

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