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Abstract:
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When communicating analytical findings to a business audience, statisticians typically focus on two things: (1) providing a context within which findings can be interpreted (i.e., data that were analyzed, decisions that were made during the analytical process, and the statistical model that was selected) and (2) accurately presenting the facts and findings. However, despite providing adequate context and clear interpretation of output, communication of statistical findings can leave the audience informed but unconvinced of the analysis' value and veracity. To provide a compelling message to their audience, statisticians must take a cue from storytellers. In this roundtable, we'll discuss the key components of stories (characters, setting, conflict, plot, and theme) and talk about how we can improve communication of statistical findings to business users by building more meaningful data stories. Through improved storytelling, statisticians can drive more informed business decision-making in their organizations.
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