Currently, we are overwhelmed with new terms such as Big Data, Smart Data, Predictive Policing, and many more. What do they mean in practice? From my perspective, they seem to be like umbrellas, trying to cover existing things under their roof, perhaps incorporating some new aspects. If we look into predictive policing, I would say, that it was done already for many years. Without evaluating it with regard to decision quality, it was narrow, that is, based on individuals’ experience and little data. The reason is that for most agencies technological support was not affordable. With decreasing cost of hardware a new interest in technologies from artificial intelligence arise. Consequently, predicting today is supported by the automatized analysis of tons of historical and real-time data. However, building appropriate prediction models and interpreting the results from the analysis of the collected data requires care and human reasoning. If we talk about cognitive policing, which is way of incorporating artificial intelligence approaches into policing processes, we think it is important to make sense-fully use of the data we can get grip on. Data have to be used for the well-being and the benefit of the society. Human shall be the final instance for decision making. Nevertheless, existing and perhaps even disruptive ways of policing will be more and more supported with new technologies. The technologies shall be seen as a means to an end not an end in itself.