From the course: Leading Teams Working with Data: Pitfalls and Best Practices
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Neatness
From the course: Leading Teams Working with Data: Pitfalls and Best Practices
Neatness
- I'm sure you've heard the phrase that perception is reality. And this is why neatness is an important way to evaluate data project work. Although you might not think this sounds terribly important, the perception around your work will be influenced by how people perceive that work. This means if your presentation doesn't look great, if your spreadsheets or other inputs don't look clean and people can't read them, they might assume that there's inaccuracy in your analysis, that there's something wrong, or that there could be completeness problems. So even though neatness sounds like something you might be graded on elementary school like the quality of your penmanship, in business and in data analysis, the appearance of your final deliverable will cast a shadow or a halo on the work you've done. And of course, after having done the data analysis, you want people to perceive it positively. This is why neatness is one of…
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