Look at the quality and interpretation of the data as simply because data is presented, it doesn&#x27;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.<p>Secondly if your looking at historic trends you can recognise out the past doesn&#x27;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.<p>Thirdly challenge the gut feeling. If the data is overwhelmingly showing one things I&#x27;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.<p>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?<p>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&#x27;s considered a must to say you&#x27;re &#x27;data driven&#x27; but the reality is only the minority really understand data driven decision making. Data and useful data are two entirely different things.<p>Does that help?