Should Data Structures Look Flat for End Users?
Michael Schulz, Paul Alpar, Patrick Winter · Information Systems Management · 2020
Recent developments in business intelligence have not only led to the availability of more and more heterogeneous data but also to more and more heterogeneous user groups accessing them. Consequently, software vendors offer products with various views on data, wishing to give all users an easy access to the data. We conduct an online experiment among end users with varying analytical expertise for an empirical examination on how data should be structured for presentation.