data quality

DATAVERSITY Event Sponsorships

DGIQ + EDW, May 4–8, 2026

The Data Governance & Information Quality Conference (DGIQ) is the world’s most comprehensive event dedicated entirely to data governance and information quality — and Enterprise Data World (EDW) has long been recognized as the most comprehensive educational conference on data management.

In spring 2026, these two industry-leading conferences are combined to offer an unparalleled learning experience, DGIQ + EDW, running May 4-8, 2026, in San Diego, CA.

Early bird pricing is available through April 3. As a sponsor, FSFP offers a 15% discount on any DGIQ + EDW registration option. Use FSFP15 when you register.

FSFP is honored to participate in this event, and we hope to see you there!

When: May 4-8, 2026
Where: The Catamaran Resort Hotel and Spa, San Diego, CA

DGIQ + EDW 2026

 

Meet Kelle, Josh and Becky at DGIQ + EDW

Founder & CEO Kelle O’Neal
Principal Consultant Josh Henderson

Monday, May 4 | 8:30 to 11:45 AM
Leveraging AI to Accelerate Data Governance

Generative AI is revolutionizing Data Governance by automating content creation, thereby liberating data stewards to tackle more complex, strategic, and creative challenges. This newfound efficiency enables organizations to accelerate their strategic roadmaps, expanding the scope, breadth, and maturity of their Data Governance initiatives.

While Generative AI excels at automating content creation, the true power lies in how businesses choose to leverage it. The operating model and directives become critical controls, guiding the integration of Generative AI into end-to-end data capabilities. By strategically embedding Generative AI, organizations can significantly enhance the maturity, productivity, and effectiveness of their Data Governance frameworks.

Join us to explore how Generative AI can be the catalyst for transforming Data Governance, driving innovation, and achieving unparalleled operational excellence.

Meet Kelle O’Neal, Founder & CEO

Meet Josh Henderson, Principal Consultant

Kelle O'Neal and Josh Henderson headshots
DGIQ + EDW logos

Principal Consultant Becky Lyons

Every data leader eventually hits the same fork in the road: invest in an enterprise data strategy before shipping anything, or let real use cases pull the foundations into place as value is delivered. Strategy-first proponents argue it is the only way to prevent fragmentation, duplicated spend, and governance debt across a sprawling enterprise. Use-case-led advocates counter that strategy without delivery is theater — that momentum, credibility, and even data quality itself emerge only when something real ships.

In this moderated debate, two sides will make their strongest cases, challenge each other directly, and take questions from the room. Expect a candid exchange on where each approach actually wins, where each one quietly fails, and how regulation, GenAI, and data-product thinking are reshaping the trade-off. Attendees will leave with a sharper lens for auditing their own programs and a practical frame for deciding where the next dollar, hire, and quarter of effort should go.

Wednesday, May 6 | 3:00 to 3:45 PM
Building a Sponsor Coalition

A single sponsor, no matter how influential, is rarely enough to drive significant, cross-functional organizational change. Success requires an active, unified coalition of leaders who advocate for the change across all impacted departments and levels. This session will equip data program sponsors and managers with practical tools and strategies to identify, recruit, and align key leaders into a cohesive and effective sponsor coalition.

In this session, we will share:

  • Strategies for identifying and engaging sponsors
  • Best practices for sponsors to drive program success
  • Key activities program teams and sponsors can use to drive organizational change

Talk to a Data
Consulting Expert

We’d love to hear about your data challenges and goals. As a data consulting firm specializing in metadata, governance and AI readiness, FSFP can help you move from complexity to clarity, turning your data into real business value.

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