Navigating Analytical Pitfalls in Data Interpretation

We live in an age where we have more data than ever. But most leaders have two strong reactions to new data. Either they rely too heavily on studies or information to make decisions. Or they dismiss outright data that could be very relevant. The better way is learning how to interpret, question, and engage with data and studies, say Harvard Business School professor Amy Edmondson and Johns Hopkins Carey Business School professor Michael Luca. They break down the essential analytical tools to assess and interrogate data to be able to apply it to business decisions. Edmondson and Luca are coauthors of the HBR article "Where Data-Driven Decision-Making Can Go Wrong."