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CDO CERTIFICATION PROGRAM CURRICULUM DETAILS

The CDO Certification Program is designed to equip data leaders with the essential knowledge, skills, and strategies needed to excel in the Chief Data Officer (CDO) role. This comprehensive program blends business acumen, technical expertise, and leadership capabilities, ensuring participants are well-prepared to tackle the evolving challenges of data governance, analytics, and digital transformation. By covering critical aspects of strategy, innovation, and people management, the program provides a well-rounded approach to navigating the complexities of data leadership and driving meaningful organizational success.

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

Eduard Tudoreanu, Professor, University of Arkansas at Little Rock
Dr. Mark Ramsey, Managing Partner, Ramsey International LCC

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.

Put It All Together

Derek Strauss, Chairman, Gavroshe | Managing Director, CDO Certification

In this final module, participants will integrate all the critical components of data leadership covered throughout the program—bringing together data strategy, data governance, data quality, and master data management (MDM) with advanced analytics, AI/ML, and data monetization. This module will highlight how these interconnected elements can drive business value, foster innovation, and ensure regulatory compliance, while also addressing the role of change management in embedding these practices within an organization. By the end of this module, participants will have the skills and knowledge to lead comprehensive data initiatives that align with business goals and create lasting impact.