Senior decision makers are increasingly looking to their data science teams for data and analytics to support their decisions. But it’s not always clear what decisions should be made or how data science should support those decisions to create maximum value. As a result, many data science teams find themselves committed to projects and initiatives simply because they are technically possible and seem like they should be valuable. In other words, you might be working on the “right answers to the wrong question." This two-day course for data science teams and the executives they support will introduce applied decision science that can provide a line of sight from data science to value creation. Using the framework of decision quality (DQ), the most advanced approach to value creation from decision making, data science teams can win a seat at the table where strategic decisions are made.