Stacey Rudoy
Senior User Experience and Communications Specialist at U.S. Bank
Minneapolis, Minnesota, United States
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Experienced Community Builder and Business Intelligence Solutions Architect and Administrator with a demonstrated history of working in regulated industries. Passionate about creating success by being a Technologist who partners and collaborates with Business while educating all the need for data governance and process sustainability. My journey includes all aspects of the tool I am responsible for, i.e. presenting content at community events, training and working with users at all skill levels, along with the technical side of applications and administration, creating sustainable governance and navigating internal approval processes and auditing.
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Governed Self‑Service Analytics in Microsoft Fabric
Self-service analytics promises faster insights, increased business agility, and broader access to data. Yet many struggle with the unintended consequences of success: duplicate reports, conflicting metrics, unmanaged workspaces, and growing concerns about trust and governance. Microsoft Fabric offers powerful capabilities that enable organizations to scale analytics while maintaining control, but technology alone is not enough. The challenge is finding the right balance between empowerment and governance.
In this session, we'll explore practical approaches for implementing governed self-service analytics using Microsoft Fabric and Power BI. Attendees will learn how to establish scalable governance guardrails through semantic models, certified datasets, workspace management, deployment pipelines, lineage tracking, security controls, and ownership frameworks. We'll also examine how we end up with report sprawl and metric inconsistency, along with proven strategies for enabling business users to create and share insights without sacrificing reliability.
This session will show how organizations can evolve from a centralized reporting model to a governed self-service ecosystem that supports innovation while preserving trust in enterprise data.
Attendees will leave knowing how to:
- Design a governed self-service analytics strategy
- Reduce report sprawl and metric duplication
- Leverage Fabric governance capabilities effectively
- Create trusted, reusable analytics assets
- Balance user empowerment with governance controls
Rules and Tools for Power BI Accessibility
How much of your Power BI report design is focused on accessibility? If the answer is none, you're not alone. Report accessibility is often an afterthought at best. Fortunately, there are simple rules and tools to make it easy for you and you'll find that once you integrate these into your design process, you will undoubtedly end up with beautiful and effective reports for a much broader audience. We'll go over tools such as the Report Accessibility Checklist, the Accessibility Checker, and the color contrast checker. You won't look at accessibility as optional again!
The Semantic Layer Is Your Governance Layer
Organizations often invest heavily in data governance programs, yet consumers still encounter conflicting KPIs, duplicate reports, and competing versions of the truth. Frequently the root problem is not a lack of governance policies—it's a lack of governance embedded where analytics actually happens.
In this session, we'll explore how the Power BI and Microsoft Fabric semantic layer has become one of the most important governance assets in modern data platforms. Attendees will learn how semantic models help standardize business definitions, establish trusted KPIs, enforce consistent calculations, and provide controlled access to enterprise data at scale.
Through practical examples and demonstrations, we'll examine common governance challenges such as metric proliferation, semantic drift, and dashboard sprawl, and show how certified datasets, reusable measures, calculation groups, lineage tracking, and endorsed data assets can help address them. We'll also connect these technical capabilities to core DAMA governance principles, illustrating how business ownership and technical implementation must work together to create trusted analytics.
You'll leave knowing how to:
- Understand how semantic models operationalize governance
- Create trusted, reusable KPIs across teams
- Reduce report and metric duplication
- Align business definitions with technical implementation
CDMP Meets Fabric: Applying DAMA Principles in Modern Analytics Platforms
Many organizations struggle to connect enterprise data governance frameworks with the realities of modern analytics platforms. Data governance teams speak in terms of stewardship, metadata, quality, and ownership, while analytics teams focus on lakehouses, semantic models, dashboards, and self-service reporting. The result is often a disconnect between governance strategy and implementation.
This session bridges that gap by mapping core DAMA Data Management Body of Knowledge (DMBOK) principles to practical capabilities within Microsoft Fabric and Power BI. Attendees will learn how governance concepts such as data stewardship, metadata management, data quality, and master data translate into real-world decisions about OneLake, Lakehouses, Data Pipelines, and Power BI reporting environments.
You'll leave knowing how to operationalize governance:
- Map DAMA DMBOK concepts to Microsoft Fabric capabilities
- Understand how governance is embedded within modern analytics platforms
- Identify governance controls that improve trust without reducing agility
- Build a practical roadmap for implementing governed self-service analytics
Stacey Rudoy
Senior User Experience and Communications Specialist at U.S. Bank
Minneapolis, Minnesota, United States
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