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The purpose of this paper is to explore the expectations of academic staff to learning analytics services from an ideal as well as a realistic perspective. This mixed-method study focused on a cross-case analysis of staff from Higher Education Institutions from four European universities (Spain, Estonia, Netherlands, UK). While there are some differences between the countries as well as between ideal and predicted expectations, the overarching results indicate that academic staff sees learning analytics as a tool to understand the learning activities and possibility to provide feedback for the students and adapt the curriculum to meet learners' needs. However, one of the findings from the study across cases is the generally consistently low expectation and desire for academic staff to be obligated to act based on data that shows students being at risk of failing or under-performing. • Academic staff perceives LA as a tool to provide students feedback but do not feel obligated to act based on LA data. • LA has potential in supporting learning and teaching but academics are not convinced that ideal expectations are realized. • There is a need to engage teaching staff in LA processes – strategy/policy formation, embedding LA into teaching practices. [ABSTRACT FROM AUTHOR]