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Summary of Cole Nussbaumer Knaflic's Storytelling with Data
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- FormatePub
- ISBN978-1-6693-6890-8
- EAN9781669368908
- Date de parution28/03/2022
- Protection num.Digital Watermarking
- Taille1 Mo
- Infos supplémentairesepub
- ÉditeurEverest Media LLC
Résumé
Please note: This is a companion version & not the original book.
Sample Book Insights:
#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.
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.
Please note: This is a companion version & not the original book.
Sample Book Insights:
#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.
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.
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