One of the ways in which distance teaching and learning practice and results may be improved is to collect relevant data from various student activities performed during a course and analyse them so as to be able to draw relevant conclusions. Such data usually includes, but is not limited to, the data obtained from evaluation activities aimed at evaluating the set learning outcomes. The collected data is subjected to the defined learning analytics procedures by both the experts (e.g., educational decision-makers) and nonexperts (e.g., course instructors) in learning analytics, so a visual representation of data may help in increasing the transparency and comprehensibility of the results. Designated learning data visualisation systems play a vital role in that regard and may offer a number of customised graphical displays of data. The paper at hand argues in favour of learning data visualisation helping to design better and more successful distance learning setups. It aims to describe a newly developed system for learning data visualisation which uses the data collected from a learning management system and allows it to be automatically prepared, analysed, and visualised for educational decision-making. The emphasis in the paper is put on the design and implementation of the system (all of its components), its back-end elements, and database design.