Data Decision-Making and Communication for Leaders with Nancy Duarte

Data Decision-Making and Communication for Leaders with Nancy Duarte

44mIntermediate2025-05-08

Authors

Nancy Duarte

Nancy Duarte

Course details

Join Nancy Duarte, an expert on data communications, as she teaches you how to use data to make sound decisions and then communicate those data-driven decisions clearly and persuasively as a leader. Learn how to assess the types of data required to make decisions, use AI to critique and observe data, communicate action from data through compelling storytelling, and use the Duarte Method to present your ideas cohesively to the wider organization.

Learning objectives
Define the key principles of data storytelling and its role in leading and inspiring action.
Differentiate between discrete, operational, and strategic data-driven decisions, and identify appropriate data types to support each decision-making level.
Assess decision urgency and impact using relevant data metrics, with the help of AI tools.
Communicate action across the organization using powerful storytelling techniques.

Skills covered

Public SpeakingPresentationsDecision-MakingData VisualizationBusiness AnalyticsCommunicationData ScienceProfessional DevelopmentBusiness Analysis and StrategyLeadership and ManagementBusiness Software and ToolsOne-Off

Concepts

Principles of Data Decision-Making and Communication

  • Become a data-driven leader
  • Lead and inspire action through data storytelling
  • Applying the Duarte Method to data storytelling
  • Three levels of data-driven decision-making

Communicating Action from Data through Storytelling

  • Customize your message to the audience
  • Make charts work harder to clarify decisions
  • Craft clear recommendations from data

Using Slidedocs to Communicate Data to the Wider Organization

  • What s a Slidedoc
  • Using Slidedocs for proposals and updates
  • Distributing a Slidedoc effectively

Using AI to Critique and Observe Data

  • Use AI to critique a chart
  • Use AI to remove bias in data

Conclusion

  • The power of communicating data well
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