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DL 401 –Full Lifecycle Data Literacy

Duration: 3-5 days

This interactive course provides a combination of lecture and small workshop exercises that allow the student to learn and practice the concepts of data literacy and their implementation to support effective data collection, definition, management, and usage.

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Description

This course presents the complete view of data literacy, including the current state and the actions for continual improvement. This interactive course provides a combination of lecture and small workshop exercises that allow the student to learn and practice the concepts of data literacy and their implementation to support effective data collection, definition, management, and usage.

Objectives

  • Establish clear and best practice based understanding of data literacy and its implementation for an organization
  • Explain the concepts and best practices of data literacy and offer methods for successful implementation
  • Identify the value and benefits data literacy for an organization and how to measure current state of an organization’s data literacy
  • Identify the activities of data analysis, data science, and data management that apply to data literacy and the best practices that influence their effective implementation
  • 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
    • 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 and its value to an organization
    • 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)
  • Data Analysis and Data Literacy
    • 9 data analysis techniques and their association with data literacy
    • Developing and maintaining relationships among business professionals, IT staff, data analysts, data scientists, and data management professionals to achieve and maintain data literacy in an organization
    • Role of data literacy in data science and analytics
  • Organizational Change Management and Data Literacy
    • Basics of change management and its association with data literacy
    • Developing a data literacy communications plan
    • Developing a data literacy socialization plan
    • Starting an effective and sustainable data literacy program
    • 10 steps to data literacy improvement
  • 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 and how to achieve them
    • 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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