An evaluation group such as company code, product, customer group, fiscal year, period or region.
Characteristics provide classification possibilities for the dataset. The master data encompasses the permitted values of a characteristic, the so-called characteristic values. Characteristic values are discrete names.
Note: The characteristic region could, for example, have the values 'North', 'Central' and 'South'.
Property for describing and distinguishing between objects, such as length, color, or weight.
The characteristics in Profitability Analysis represent those criteria according to which you analyze your operating results and your sales and profit plan. Valid values of these characteristics are combined to form profitability segments. You can use concepts that already exist in the R/3 System, such as "Customer" and "Sales organization", to define characteristics. In addition, you can manually define your own characteristics when you customize your system.
Criterion used to group together data, such as "sales organization", "purchasing organization", "plant" or "material".
Characteristics are a component of information structures. Key figures can be summarized by period for these characteristics.
Each characteristic has characteristic values. For example, the characteristic "sales organization" might have the value "sales organization NORTH" or "sales organization 0001".
Evaluation criterion that can be used to design reports in drilldown reporting.
Examples:
Criterion according to which data can be selected.
Examples: plant, material, company code, order
Each characteristic has a number of characteristic values. Characteristics are also often referred to as "dimensions".
Criterion used to select data such as:
LO-EHS:
Part of a substance property. A property can consist of several characteristics.
The property "boiling point" can consist of the following properties, for example:
A property that describes and differentiates objects.
Example: length, color, weight, etc.