DataScienceandArtificialIntelligence

intervista uses modern methods, procedures and tools in the fields of data science and artificial intelligence to gain deeper insights, increase the quality of results and shorten the time needed to conduct the study. We very often use multivariate methods, for example, to better understand the causality of impact chains, to analyse importance and drivers and to generate insights for price research. Methods based on artificial intelligence are becoming increasingly important for us and are used, among other things, in the area of panel management, in conspicuity analyses and in coding.

The intervista data science team also develops its own models, which are used, for example, in the analysis of data from the Footprints panel. We use these to infer the means of transport used, purpose of mobility, distances travelled and stages from billions of geo-coordinates and data from smartphone acceleration sensors.