Some important things to considere are the different concepts involved in elearning analytics:
Learning analytics: it is about measure, collect analysis and evaluation of data about learners in order to understand and improve the learning process. SOLR propose the following definition:
the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Academic analytics: use of the processing of big data in order to take decisions about educational organization. (to make predictive models) (Probably, my phd is more focused on this concept!) CITE: http://net.educause.edu/ir/library/pdf/PUB6101.pdf
Educational Data Mining: discipline about the development of methods in order to explore data from educational process or to research about methodology and others.
So, The main difference between learning and academics analytics is the main object of study: in the case os learning analytics the target is to study how the learning process is developed. The goal is to improve learning. Academic analytics has a wider target, trying to deep in all data related to the educational process (from enrollments to graduations rates) in order to take strategic decisions.