Interpreting and communicating results

Data Fluency

Konstantinos Kattidis

Data Analytics Lead

The power of communication

Handshake with communication icons

  • The ability to effectively communicate findings is crucial
  • It transforms data into actionable insights
Data Fluency

Presenting data insights

  • Katia found that the drop in user engagement is due to poor software performance
  • She arranges a meeting with the product and engineering teams
  • She conducts a presentation to share her findings

Woman presenting a line chart

Data Fluency

The power of data storytelling

  • Katia crafts a data story to convey her insights in a compelling and relatable way

  • Data-fluent individuals:

    • Weave a narrative around the data
    • By crafting a story they engage their audience and helps them understand the insights and the possible actions

Woman telling a data story to audience

Data Fluency

Crafting a compelling narrative

  • Katia starts by outlining the problem she has investigated
  • Showing fluctuations in user engagement metrics
  • Highlighting the cause-and-effect relationships
  • Using visual aids like line charts and bar graphs to illustrate her points

Diagram for crafting a compelling narrative

Data Fluency

Tailoring the message

  • Katia tailors her communication according to her audience
  • For the product manager:
    • Focusing on the potential impact
    • Emphasizing the urgency of addressing the software performance issues
  • For the developers:
    • Focusing on the software changes
  • She avoids jargon and technical terms

Man tailoring and thinking about his customers

Data Fluency

Creating a conversation

People having a conversation

  • Communicating with data is not just a one-sided monologue
  • It is more about starting a guided conversation
  • Encouraging questions and discussions
Data Fluency

Ensuring actionable insights

Woman looking at a board outlining next steps

  • At the heart of data communication lies the goal of driving action
  • Ensure that the presentation ends with actionable insights
Data Fluency

Summary of best practices

  1. Create a data story
  2. Set the context
  3. Visualize the data
  4. Tailor the message
  5. Create a conversation
  6. Ensure actionable insights

Person telling a data story

Data Fluency

Let's practice!

Data Fluency

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