CCDO PROFESSIONAL PROGRAM CURRICULUM DETAILS
3rd Cohort Phase I Curriculum
Schedule: January 6 – May 26, 2026
- 4 Modules over 20 Weeks. Each module runs for 5 weeks
- Live online sessions every Tuesday, 4:30–7:00 PM ET
- Flexible tuition: Pay in full or per module
- Earn 5 certificates of completion and 5 Continuing Education Units
Data Strategy
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.
Data Quality
Dr. Tom Redman, “the Data Doc”, Data Quality Solutions
High-quality data is the bedrock of effective decision-making. Participants explore methods to assess, enhance, and maintain data quality, ensuring that data-driven insights are reliable and trustworthy.
MDM and Data Curation
Dr. John Talburt, Professor of Information Science and Acxiom Chair of Information Quality, University of Arkansas at Little Rock
Master Data Management (MDM) ensures that organizations have a single, accurate, and unified version of critical data. Participants learn the art of managing master data across the enterprise, enhancing data consistency, and enabling better decision-making through accurate information.
The ability to integrate and curate diverse data sources is crucial for generating actionable insights. This module equips participants with techniques to harmonize data from various sources, ensuring that the information used for analysis and decision-making is accurate and coherent.
Data Governance
Martha Dember, Data Management Advisory Consultant, MM&I Data Management
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.
2nd Cohort Curriculum
Data Strategy
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.
Data Quality
Dr. Tom Redman, “the Data Doc”, Data Quality Solutions
High-quality data is the bedrock of effective decision-making. Participants explore methods to assess, enhance, and maintain data quality, ensuring that data-driven insights are reliable and trustworthy.
MDM and Data Curation
Dr. John Talburt, Professor of Information Science and Acxiom Chair of Information Quality, University of Arkansas at Little Rock
Master Data Management (MDM) ensures that organizations have a single, accurate, and unified version of critical data. Participants learn the art of managing master data across the enterprise, enhancing data consistency, and enabling better decision-making through accurate information.
The ability to integrate and curate diverse data sources is crucial for generating actionable insights. This module equips participants with techniques to harmonize data from various sources, ensuring that the information used for analysis and decision-making is accurate and coherent.
Data Governance
Martha Dember, Data Management Advisory Consultant, MM&I Data Management
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.
Data Analytics
Dr. Mark Ramsey, Managing Partner, Ramsey International LCC
Thomas Davenport, Professor, Babson College
Eduard Tudoreanu, Professor, University of Arkansas at Little Rock
Data analytics unlocks valuable insights hidden within vast datasets. The program equips participants with the skills to employ various analytical methodologies, from descriptive and diagnostic to predictive and prescriptive, to support informed decision-making.
Data Monetization and Valuation
Douglas Laney, Data, Analytics & AI Strategy Advisor | Research and Advisory Fellow, BARC
In an era where data is considered an asset, understanding how to monetize it is paramount. This module explores strategies for deriving economic value from data, covering aspects such as data commercialization, pricing models, and assessing the intangible value of data.
Change Management
Beth Montag-Schmaltz, Founder, 17 Percent | West Monroe Ambassador
Erin Daly, Change Leader, West Monroe
Effective data management requires cultural transformation. Participants gain insights into the principles of change management, learning to drive organizational shifts towards a data-centric mindset and fostering an environment that embraces data-driven innovation.
1st Cohort Curriculum
Data Strategy
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.
Data Governance
Martha Dember, Data Management Advisory Consultant, MM&I Data Management
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.
MDM and Data Curation
Dr. John Talburt, Professor of Information Science and Acxiom Chair of Information Quality, University of Arkansas at Little Rock
Master Data Management (MDM) ensures that organizations have a single, accurate, and unified version of critical data. Participants learn the art of managing master data across the enterprise, enhancing data consistency, and enabling better decision-making through accurate information.
The ability to integrate and curate diverse data sources is crucial for generating actionable insights. This module equips participants with techniques to harmonize data from various sources, ensuring that the information used for analysis and decision-making is accurate and coherent.
Data Quality
Dr. Tom Redman, “the Data Doc”, Data Quality Solutions
High-quality data is the bedrock of effective decision-making. Participants explore methods to assess, enhance, and maintain data quality, ensuring that data-driven insights are reliable and trustworthy.
Data Analytics
Dr. Mark Ramsey, Managing Partner, Ramsey International LCC
Thomas Davenport, Professor, Babson College
Eduard Tudoreanu, Professor, University of Arkansas at Little Rock
Data analytics unlocks valuable insights hidden within vast datasets. The program equips participants with the skills to employ various analytical methodologies, from descriptive and diagnostic to predictive and prescriptive, to support informed decision-making.
Data Monetization and Valuation
Douglas Laney, Data, Analytics & AI Strategy Advisor | Research and Advisory Fellow, BARC
In an era where data is considered an asset, understanding how to monetize it is paramount. This module explores strategies for deriving economic value from data, covering aspects such as data commercialization, pricing models, and assessing the intangible value of data.
Change Management
Beth Montag-Schmaltz, Founder, 17 Percent | West Monroe Ambassador
Erin Daly, Change Leader, West Monroe
Effective data management requires cultural transformation. Participants gain insights into the principles of change management, learning to drive organizational shifts towards a data-centric mindset and fostering an environment that embraces data-driven innovation.
Special Topics
Consist of the following topics:
- 4 Steps That Successful CDOs Take by Derek Strauss
- Cubic Framework For CDOs by Yang Lee
- Your First 90 Days As CDO and 1-3-5 Planning by Robert Abate
- Executive Data Literacy by Peter Aiken
- Quantum Computing by James Meng