In recent years, low background rumblings have been heard in the land of education and training--rumblings that are getting louder each day. These are the sounds of the learning world discovering what Internet professionals working in other market sectors have known for years: The "digital breadcrumbs" that learners leave behind about their viewing, reading, engagement, and assessment behaviors, about their interests, and about their preferences provide massive amounts of data that can be mined to better personalize their learning experiences. Using evidentiary methods and technology tools to figure out how to interpret what these digital breadcrumbs are telling us has come to be known in education circles as "learning analytics". Learning analytics provide the tools, technologies, and platforms to empower educators to open the door on meaningful learning experiences that can engage, inspire, and prepare current and future students for success. In this article, the authors discuss the evolving learning analytics landscape. They assert that learning analytics have the potential to help learners and instructors alike recognize danger signs before threats to learning success materialize. These possibilities provide the fuel that is feeding the fires of increasing interest in learning analytics. By using learning analytics and working together to make accountable, informed decisions based on carefully mined data, all contributors to the educational enterprise can help deliver on the promise to enable student success. (Contains 12 notes.)