BI Studio's IoT analytics integrates sensor-detected variables to use the stored information to search for possible correlations with management indicators.
We obtain values such as Sunshine Hours, Humidity, Precipitation, Wind Chill and Temperature to compare their evolution with sales by Category.

In this way we can detect patterns and check whether, for a company in the automotive spare parts sector, the sale of brakes increases in the months or years in which there are more precipitations.

Or, in the Food sector, we can see if some Categories such as Chocolate sell worse in years when the Temperature or Wind Chill is higher.