Data Analysis

Data analysis in creative technology involves collecting and examining quantitative data to gain insights. This can include data from user studies, sensor readings, interaction patterns, A/B test results, or performance measurements of interactive prototypes.

By systematically analyzing this data, creative technologists can make informed decisions rather than relying on gut feelings. Data analysis provides insights into patterns or problems that are not visible to the naked eye. In a broader sense, data analysis enables you to quantitatively validate design choices: measuring effects. It thus contributes to an 'evidence-based' improvement cycle.

Starting Points

• Data analytics (ICT Research Methods)

Key Points

• You think in advance about which data you want to collect and how to collect it efficiently and securely.
• You demonstrate understanding of data quality. You check the dataset for completeness, reliability, and biases, and justify the analysis method used.
• You present concrete findings from the data with visualizations (graphs, tables) and draw conclusions that link to design or improvement actions.