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10 Kinds of Stories To Tell With Data-with-cover-page-V2 by net.mashael is a document available to read on EtoBox.
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The document discusses the importance of storytelling with data in analytics, highlighting the need for a framework to understand different types of analytical stories. It identifies four key dimensions that influence the type of story: time, focus, depth, and methods, emphasizing that these stories can range from reporting past events to making predictions about the future. The author, Tom Davenport, suggests that effective analytical storytelling should cater to non-analytical audiences by prioritizing re
- Author
- net.mashael
- Language
- EN