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    Summary of Cole Nussbaumer Knaflic's Storytelling with Data
    Summary of Cole Nussbaumer Knaflic's Storytelling with Data
    Summary of Cole Nussbaumer Knaflic's Storytelling with Data
    Ebook46 pages48 minutes

    Summary of Cole Nussbaumer Knaflic's Storytelling with Data

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    Please note: This is a companion version & not the original book.

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    #1 Exploratory analysis is what you do to understand the data and figure out what might be noteworthy or interesting to highlight to others. When you are at the point of communicating your analysis to your audience, you should be in the explanatory space, meaning you have a specific thing you want to explain.

    #2 When it comes to explanatory analysis, you must first identify your audience. You should then be clear about what you want them to know or do. Finally, you must use data to help make your point.

    #3 The more specific you can be about who your audience is, the better position you will be in for successful communication. Avoid general audiences, such as internal and external stakeholders or anyone who might be interested.

    #4 When writing a email, letter, or blog post, consider how your audience will perceive you. Do you have a established relationship with them. Do they already trust you as an expert, or do you need to work to establish credibility.

    LanguageEnglish
    PublisherIRB Media
    Release dateMar 24, 2022
    ISBN9781669368908
    Summary of Cole Nussbaumer Knaflic's Storytelling with Data
    Author

    IRB Media

    With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

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      Book preview

      Summary of Cole Nussbaumer Knaflic's Storytelling with Data - IRB Media

      Insights on Cole Nussbaumer Knaflic's Storytelling with Data

      Contents

      Insights from Chapter 1

      Insights from Chapter 2

      Insights from Chapter 3

      Insights from Chapter 4

      Insights from Chapter 5

      Insights from Chapter 6

      Insights from Chapter 7

      Insights from Chapter 8

      Insights from Chapter 9

      Insights from Chapter 10

      Insights from Chapter 11

      Insights from Chapter 12

      Insights from Chapter 1

      #1

      Exploratory analysis is what you do to understand the data and figure out what might be noteworthy or interesting to highlight to others. When you are at the point of communicating your analysis to your audience, you should be in the explanatory space, meaning you have a specific thing you want to explain.

      #2

      When it comes to explanatory analysis, you must first identify your audience. You should then be clear about what you want them to know or do. Finally, you must use data to help make your point.

      #3

      The more specific you can be about who your audience is, the better position you will be in for successful communication. Avoid general audiences, such as internal and external stakeholders or anyone who might be interested.

      #4

      When writing a email, letter, or blog post, consider how your audience will perceive you. Do you have a established relationship with them. Do they already trust you as an expert, or do you need to work to establish credibility.

      #5

      When presenting data, you should always want your audience to know or do something. If you can't concisely articulate that, you should rethink whether you need to communicate in the first place. Suggesting possible next steps can be a great way to get the conversation going.

      #6

      The words and phrases you use to start your speech will largely determine how your audience will react to you.

      #7

      The method you use to communicate with your audience has implications on several factors, including the amount of control you have over how the audience takes in the information and the level of detail that needs to be explicit. With a live presentation, you are in

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