More companies than ever are identifying themselves as “data-driven,” but challenges in managing, interpreting and implementing the data continue to mount. A recent study by the Columbia Business School and NYAMA reported that “39% of marketing executives confess that they have lots of customer data but don’t know what to do with it.” Data projects are expensive and time-consuming and, often time, leave marketers without answers to foundational marketing questions, including “How can I use this data to deliver better results and improved ROI?”