Look at the quality and interpretation of the data as simply because data is presented, it doesn't mean it is correct, or relevant to a decision. E.g look for t

Look at the quality and interpretation of the data as simply because data is presented, it doesn't mean it is correct, or relevant to a decision. E.g look for trends vs single data points. This is one of the most common errors I see in data based decision making. Secondly if your looking at historic trends you can recognise out the past doesn't always predict the future. Be careful not to overuse this as I would say this is the exceptation to the rule, especially if looking at trends. Thirdly challenge the gut feeling. If the data is overwhelmingly showing one things I'd be inclined to support it. I find with a gut feeling if you sit on it you will understand better why you feel that way. Forth, take advise if you have doubt. Do you have a few go-to people who you respect their judgment or can help you clarify yours? More generally, I think first point is pertinent. I work in a field that is very much part art, part science. In this area it's considered a must to say you're 'data driven' but the reality is only the minority really understand data driven decision making. Data and useful data are two entirely different things. Does that help?