Dr. Mark Ramsey, Managing Partner, Ramsey International LCC

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.

Dr. John R. Talburt, Acxiom Chair of Information Quality, UALR and Dannette McGilvray, President and Principal Consultant, Granite Falls Consulting, Inc.

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.

Martha Dember, Director, AI Governance, Datavail

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.

Dr. Mark Ramsey, Managing Partner, Ramsey International LCC

This module introduces participants to Agentic Data Quality (ADQ)—a modern approach that combines traditional data quality disciplines with GenAI, agents, and automation frameworks to create continuous, scalable data quality systems. At its core, ADQ extends the classic Total Data Quality Management (TDQM) lifecycle—Define, Measure, Analyze, Improve—by embedding agentic workflows that continuously observe, act, and improve data quality in closed loops. Participants will move from foundational concepts to practical implementation, culminating in a hands-on session using a working ADQ solution.

Douglas Laney, Data, Analytics and AI advisor, Reseacher, and Author

This interactive course equips current and aspiring data, analytics, and AI executives to assess and strengthen their organization’s maturity across eight core capability dimensions. Through structured self-assessment, peer discussion, and practical remedy exchange, participants will identify critical gaps, benchmark their capabilities, and explore proven approaches to advancing enterprise data and AI maturity. The course culminates in translating assessment insights into an executive-ready maturity report and actionable roadmap designed to maximize the value of organizational data assets.

Douglas Laney, Data, Analytics and AI advisor, Reseacher, and Author

This executive course on data valuation and monetization offers a holistic and pragmatic approach to understanding and leveraging data as a strategic business asset. Designed for forward-thinking business and data leaders, the course integrates key concepts from various disciplines to provide a comprehensive understanding of data’s measurable and monetizable role in modern business.

Peter Aiken, Founding DirectorVCU/Anything Awesome LLC

This program is designed to help make data challenges directly applicable. Delegates learn how to recognize and understand data decisions (whether presented as data decisions or obscured as decisions of another type) and to incorporate data program considerations into these decisions.

Derek Strauss, Founder and Chairman/CEO of Gavroshe (Data & AI Consulting)

Brings together the key concepts and capabilities developed throughout the CCDO Program, focusing on how CDOs can drive enterprise transformation and innovation through Data, Analytics, and AI. The module explores strategic transformation, enterprise knowledge governance, data liquidity, C-suite partnership, data literacy, and executive decision-making, culminating in a peer-based practicum where participants apply their learning to real-world organizational challenges.