In education, data-driven decision making is a buzz word that has come to mean collecting absolutely as much data as possible on everything from attendance to zero tolerance, and then having absolutely no idea what to do with it. Most educational organizations with a plethora of data usually call in a data miner, or evaluator, to make some sense of it all. Evaluators spend weeks, months, sometimes years trying to find the nugget buried in all that data. Often, however, by the time they find that golden piece of information, the students have moved on, the grant has expired, or the program has been replaced with some new, amazing intervention. What educators need is real-time information--data that can help them answer questions while their students are still in their classrooms. What's more, the data and analyses must be individualized. How does one manage such data and learn from it? Enter the learning management system (LMS), also known as the curriculum management system, a type of software or webware that basically manages content and student data. But not all LMSs are created equal. Each will collect slightly different kinds of data and summarize them in different ways, spitting out different reports. In this article, the author suggests to look for an LMS that offers real-time reporting, differentiation, and the ability to group students by learning styles.