You're analyzing dataset patterns with colleagues. How do you ensure everyone sees their significance?

It’s imperative to clean your data before beginning analysis. This is particularly important if you’ll be presenting your findings to business teams who may use the data for decision-making purposes. Teams need to have confidence that they’re acting on a reliable source of information. Identify the most important questions you hope to answer through your analysis. These questions should be easily measurable and closely related to a specific business problem. If the request for analysis is coming from a business team, ask them to provide explicit details about what they’re hoping to learn, what they expect to learn, and how they’ll use the information. You can use their input to determine which questions take priority in your analysis.