For many people, data feels like an avalanche of information. No matter how proficient we are with Excel, statistical software, SQL, or Google Analytics, it’s often tough to know where and how to take your first steps. Should you create a chart? Should you try to find a correlation between the trend you’re observing and revenue? How do you know whether your findings are statistically significant—and for that matter, what the heck is statistical significance?
At the end of the day, these questions are less intimidating than they seem. Data is a tool that human beings created for other human beings. As a result, it’s up to you to create your own constraints for analysis. You choose your terms. You choose the questions you want to answer. You choose the techniques that you want to deploy. You’re in control.
Here are three tips to help you wrangle your next report.