“And that’s where the statistician needs to take it easy:
• Start with the results, so the audience has a clear view on the outcome
• Proceed to explain the analysis simply and with a minimum of statistical jargon
• Describe what an algorithm does, not the specifics of your killer algo
• Visualize the inputs (e.g.: a correlation matrix showing an ‘influence heat map’)
• Visualize the process (e.g.: a regression line on a chief predictor variable)
• Visualize the results (e.g.: a lift chart to show how much the analysis is improving results)
• Always, always tie each step back to the business challenge
• Always be open to questions and feedback”
Andrew Pease ( November 3, 2014 )

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