Fueled by the promise of concrete insights, organizations are increasingly prioritizing data in their decision-making processes. But that process can easily go wrong. Many leaders don’t understand that their decisions are only as good as how they interpret the data. In this episode, John Hopkins Carey School Professor Michael Luca and Harvard Business School Professor Amy Edmondson explain their framework for making better decisions by interpreting data more effectively.
