Depending on your business, you expect high sales around a public holiday or a sports event. Sales figures could also drop, for example, during an unexpected period of bad weather. In both cases, you can identify these periods as periods with sales deviations, which are relevant for data enrichment. The data enrichment process is used to ensure that the data records from these periods are not interpreted as outliers.

You can define periods with sales deviations and group them in a period group using transaction /DDF/PER. Based on this definition the systems generates days.

You can use transaction /DDF/PERP to display the generated periods.

In transaction /DDF/PERDO, you can assign the period group to a combination of data origin, country, and region and create a default assignment for several locations.

During data upload with process chain Stage Locations with PFC /DDF/LOC_STAGE the system evaluates the attributes data origin, country, and region of each location and assigns the locations to the period groups you defined. You can display the assignments using transaction /DDF/PERLOC.

During the execution of the function Pre-Cleansing in sales data enrichment, the system evaluates the days of periods with sales deviation assigned to a location and indicates that the corresponding data records should be ignored in the function Outlier Detection.