Electronic transport is vital for many modern technologies including photovoltaics, thermoelectrics, and transparent conductors. In this presentation, I introduce a new, computationally efficient approach for calculating transport in semiconductors and use it to obtain the transport properties of 24,000 materials. Using this dataset, I reveal that long-held assumptions about the temperature dependence of mobility are unfounded. In particular, the temperature dependence of mobility is not a reliable indicator of the dominant scattering mechanism as sometimes assumed. Finally, I introduce how we have used this approach to discover high-mobility p-type transparent conductors for transparent electronics. My talk highlights the potential for data-driven approaches to provide insights for materials discovery and optimisation.