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Data visualisation can provide a user-friendly way to observe and understand data. It can make is easier to make well-informed decision and communicate findings in data. This study aims to research how to effectively structure and visualize a complex data sets in order to improve a battery discharge process.

By implementing a dashboard and visualising a data set from electrical battery discharging, the following objectives are considered; analyse and identify which parameters and variables are most important in the battery discharging process. Analyse how data transformation and cleaning can support data visualisations. Define an interface that visualises the trends, anomalies and correlations of the data set. Evaluate how the visual representation is perceived by users in the battery recycling process?The study followed the User Centered Design method, which consist of five phases that are iterated. During the phases Identify needs and Specify context of use six stake holder interviews was held, theses were analysed through an Affinity diagram and Personas. In the phase Specify requirements requirements are established by conducting a user journey mapping. The data and insights from the previous phases was turned into ideas and solutions in the phase Produce design solutions. In total three low-fidelity and one high-fidelity prototype were created, as well as one implemented solution. In the last phase Evaluate design the design solutions were tested though, interviews, usability test and a survey. The result of the study strengthens the theory that data visualisations can be used to provide insights. The findings show that visualisation to some extent could help detect abnormalities, patterns and correlation between variables, which could be useful in improving a process.