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DL 301 –Data Literacy for Chief Data Officer (CDO)

Duration: 2-3 days

This interactive course provides a combination of lecture and small workshop exercises that allow the student to learn and practice the concepts and best practices of data literacy from the perspective of the CDO, their peers, and direct reports.

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Description

This course is focused on the role of the Chief Data Officer (CDO) and their needs for identifying and improving their organization’s data literacy. Although the main focus is for the CDO, this course is designed for all C-suite members and their direct reports, since data literacy is an organizational challenge and opportunity.

This interactive course provides a combination of lecture and small workshop exercises that allow the student to learn and practice the concepts and best practices of data literacy from the perspective of the CDO, their peers, and direct reports.

Objectives

  • Develop a clear understanding of data literacy and how it affects the role of CDO (Chief Data Officer) and other C-suite executives
  • Explain the concepts and best practices of data literacy from the perspective of CDO and related roles
  • Identify the value and benefits data literacy for an organization and how the CDO can influence an organization’s data literacy levels
  • Relate data literacy to other data management priorities such as data security, data privacy, data governance, etc.

Seminar Content

  • Foundations of Data Literacy
    • Definitions of data literacy (what it is and what it is not)
    • Developing an enterprise approach to data literacy
    • Roles and personas for effective data literacy and their value to an organization
    • Effective organizational approaches to data literacy
    • Overview of 8 key data literacy dimensions and their relationship to enterprise data management
  • Data Literacy Roles and Personas
    • Understanding the various roles in a data literate environment
    • Determining the personas for data literacy in an organization
    • Value and benefits of identifying and using roles and personas to advance an organization’s data literacy
    • Data literacy stakeholders and their interactions
  • Data Literacy Concepts and Principles
    • Foundational best practices of a data literate organization
    • Importance of using data literacy concepts and best practices to continually improve an organization’s data literacy
    • Implementing data literacy best practices for effective data management and usage
  • Data Literacy Maturity Model
    • What is a maturity model?
    • Basics of a maturity model for data literacy
    • Data literacy assessment overview
    • Implementing a data literacy maturity model in an organization
  • Data Literacy Best Practices and their Implementation
    • Best practices of a data literate organization
    • Relationship among business professionals, IT staff, data analysts, data scientists, and data management professionals to achieve and maintain data literacy in an organization
    • Data literacy return on investment (ROI)
  • Challenges to Effective Data Literacy
    • Main obstacles to organizational data literacy and how to overcome them
    • Political and organizational issues that affect data literacy
    • Keys to effective data literacy for CDOs and CIOs
    • 10 steps to data literacy improvement
    • Continuing education in data literacy, data management, etc., for business professionals
    • Addressing resistance to data literacy improvement from stakeholders
  • Conclusion
    • Workshop Summary, Additional Exercises and Reference Materials

About the Course Designer

This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.

David Marco PHD EWSolutions

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