CDOIQ Newsletter, September 2026 • Volume I
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Announcing the Inaugural
CDOIQ Executive Summit
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The CDOIQ Executive Summit brings together Chief Data Officers, data executives, and senior data leaders for a day of inspiring dialogue, peer exchange, and candid conversations. Taking place onsite on Tuesday, July 20, 2027, this invitation-only Summit offers a unique, participant-driven environment to connect, share ideas, spark collaboration, and shape the future of data and AI together.
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Announcing 3rd ADQ Day Certificate Program
October 22, 2026
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Join the 3rd Agentic Data Quality Certificate Program virtually on October 22, 2026, and gain practical insights into the future of data quality. Be part of the growing movement shaping how organizations approach data and AI. Use code OctoberADQV20% to save 20% on registration—valid through September 30, 2026.
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Monthly CDOIQ Society Proseminar:
September 16, 12 noon - 1:15 PM ET
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September 2026 Proseminar
Speaker: Gwen Thomas, Founder, Data Governance Institute
Title: Making Value Visible: What stakeholders don’t see, and how that’s hurting your program
Stakeholders only value the impact they can see. Some can describe how your work strengthens their programs and the enterprise — others only notice tasks, details, and disruptions. When they can’t see impact, they under‑represent your value, and that invisibility quietly erodes support. This session introduces simple, everyday practices that make your contributions visible, nameable, and easy for stakeholders to point to — so your program’s impact becomes undeniable, and support, engagement, and funding rise accordingly.
| | Join CDOIQ Society Today! | | |
As a member, you gain access to:
- Connect with a global network of data and analytics leaders.
- Receive exclusive discounts on CDOIQ Symposia, Proceedings, CCDO Course Series: Standalone Units, Unified Framework, and the Agentic Data Quality Certificate Program.
- Get involved in the development and advancement of the CDOIQ GPT.
- Participate in the Monthly CDOIQ Society Proseminar Series, including access to session recordings and presentation decks.
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Introducing CCDO Course Series:
Standalone Units, Unified Framework
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We’re excited to announce the preliminary CCDO Course Series: Standalone Units, Unified Framework—the next evolution of the program formerly known as the CCDO Professional Program, designed to provide professionals with greater flexibility in how they learn, develop, and advance their data leadership skills.
As part of this new approach, the CCDO Professional Program is being offered as a series of standalone yet interconnected courses. Each course can be taken independently, allowing you to choose the learning opportunities that best align with your professional goals and current needs, while still being part of a unified framework for data leadership, management, and decision-making.
Please review the courses below and apply for those that interest you!
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Data strategy forms the foundation upon which effective data management rests. In this module, participants delve into the intricacies of aligning data initiatives with organizational goals, identifying opportunities for data-driven transformation, and formulating a clear roadmap to harness data's potential.
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C2: DQM in Practice
by John Talburt, Danette McGilvray
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This course includes 5 sessions. Sessions 1-2, taught by John Talburt, cover the history and development of DQM methodologies, the ISO 8000 DQM reference model, the role of data governance, and a data quality (DQ) case study. Sessions 3-5, taught by Danette McGilvray, cover the methodology Ten Steps to Quality Data and Trusted Information™ (outlined in the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd Ed. (Elsevier/Academic Press) by Danette McGilvray. This methodology provides a practical approach to creating, improving, and sustaining the quality of data critical to any organization’s success.
| | C3: Data Governance and AI by Martha Dember | | |
Data governance serves as the framework that ensures data quality, integrity, and security while complying with regulations. Participants learn the art of creating data policies, establishing data ownership, and implementing governance structures that promote responsible data usage throughout the organization. Designed to equip data leaders with the business, technical, and people skills essential to the CDO role, the program provides a balanced foundation for success. Our objective is clear: to develop Certified CDOs who will excel in data leadership and guide their organizations in harnessing data as a strategic asset.
| | C4: ADQ for Autonomous Enterprise by Mark Ramsey | | |
Agentic Data Quality (ADQ) equips leaders to design and operationalize AI-driven, autonomous data quality systems that continuously monitor, diagnose, and remediate data issues across enterprise environments. It enables CCDO participants to embed ADQ within the AI orchestration stack—aligning data, models, agents, workflows, and governance—to deliver trusted, scalable, and decision-ready data.
| | C5: Data Analytics and AI Maturity | | Work in progress — will be introduced in the next newsletter, September Vol. II. | | C6: Data Monetization and Valuation by Doug Laney | | |
This executive course provides a holistic and pragmatic approach to treating data as a strategic business asset, covering data management, quality and governance, data valuation, monetization, and the evolving role of the Chief Data Officer. Participants will learn to assess data’s financial and non-financial value, develop effective monetization strategies, and apply economic principles to transform data into competitive advantage, innovation, and measurable business value.
| | C7: Data Literacy for Executives by Peter Aiken | | |
The course will help executives connect data decisions to business value, strengthen data-driven decision-making, and build data literacy and leadership across the organization.
| | C8: CDO Practice by Derek Strauss | | |
We cover four key steps—clarifying business value opportunities, assessing capability maturity gaps, developing a transformation strategy with an 18-month roadmap, and fostering organizational adoption and a data-driven culture—illustrated by a longitudinal case study; the Enterprise Knowledge Governance Framework of Contextualize, Productize, and Monetize alongside Data Liquidity principles for creating secure, portable, and monetizable data products; strategies to address the “Tragedy of the Data Commons” via education, self-regulation, and governance, supported by the CXO-CDO Powerhouse Partnership and CDO Capability Model; and two practicum sessions applying the Vistage Issue Processing Hourglass method to collaboratively resolve participants’ real organizational challenges through structured peer insight and action planning.
| | C9-C18 Coming Soon in Our Next Newsletter | | Where Data & AI Leaders Come Together | | |
The conversation around data and AI is evolving rapidly—and the 21st Annual CDOIQ Symposium will bring together the people shaping what comes next.
Connect with an influential community of Chief Data Officers, analytics and AI leaders, technology executives, researchers, and practitioners representing organizations across the Fortune 1000, S&P 500, and Global 2000, along with leaders from government, academia, and the broader data ecosystem.
Whether you want to share your expertise from the stage, present your latest research, exchange ideas with industry peers, or simply be part of the conversation, there is an opportunity for you to contribute.
Be part of the 21st CDOIQ Symposium.
Attend. Speak. Connect. Contribute.
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Previous CDOIQ Newsletters
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