The most important added value of spatial BI is the quick insight you get with the addition of the geographical data component. In addition to information in the form of figures, tables and graphs, you can see where that information takes place. In a city, for example, you can analyze information at street, neighborhood and district level.
Spatial BI puts data with a location component in the right perspective. In addition, it is powerful to combine this with data that is also location-bound and publicly available. For example, you can think of data from Statistics Netherlands (CBS) and KNMI. Questions that you can answer, for example, are whether there is more or less nuisance from micro-dust on rainy days in certain neighborhoods.