Last week, I sat down with one of our data experts, Olena Shevchenko, to get her thoughts on clean data and why it’s important. As someone with a non-technical background, I wanted to understand the steps you can take to ensure you are working with clean data.   Clean Data: Step 1  Olena explained the first step she would take is exploring. She gave the example of having a very wide data table, where you may or may not know the source of the data. You want to explore what kind of naming standards there are for the columns and understand what the underlying data behind it is. You also want … Read more