Session

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

Making the change from consultancy to in-house 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 chronicles my journey from managing controlled client environments to wrestling with the beautiful mess of enterprise self-service BI, where every department thinks they're the exception to your governance rules.

What You'll Learn:
The Ownership Paradox

Why traditional BI governance fails in self-service environments
The psychological shift from "data consumers" to "data owners"
Managing competing priorities when every stakeholder has skin in the game

Chaos Management Strategies

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

Real-World Implementation Insights

Why your pilot project success won't scale (and what to do about it)
Managing the inevitable explosion of duplicate reports and conflicting metrics
Creating accountability without micromanagement

The Administrator's Evolution

Shifting from controller to consultant within your own organization
Building alliances with power users who become your secret weapons
Measuring 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 (3+ years experience recommended)
Preferred session duration: 60 minutes (45 min presentation + 15 min Q&A)
Technical requirements: Standard presentation setup, no live demos planned

Roman Tesolkin

Data Engineer @ Allianz Global Investors

Frankfurt am Main, Germany

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