You can use a correlation curve to identify the interrelationships between two or more key figures.
The number of characteristic values in the list currently displayed is plotted on the x-axis, and the key figure values are scaled to a range of 0 to 1 on the y-axis. The value 0 is assigned to the smallest key figure value, and the value 1 to the largest key figure value.
The sort sequence of the underlying list is taken into account when the correlation curve is created.
You can only call up the correlation curve if characteristic values are available for more than one characteristic.
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Examples: Correlation Curve
Purchasing Information System:
You want to check how the development of the key figures ‘order value’ and ‘invoiced amount’ is distributed over the periods for a specific vendor. You generate a drilldown list according to periods during the vendor analysis. You can now use the correlation curve to view the interrelationship between the key figures ‘order value’ and ‘invoiced amount’ for the designated periods.
Sales Information System:
You want to check the interrelationship between the key figures ‘incoming orders’ and ‘invoiced sales’ and how they are distributed over the periods for a particular customer. You generate a drilldown list for customer according to the periods during the customer analysis. You can now use the correlation curve to view the interrelationship between the key figures ‘incoming orders’ and ‘invoiced sales’ for the designated periods.
Inventory Controlling:
You want to check the development of the receipts quantity and the issue quantity of the valuated stock and how they are distributed over the periods for a particular material. You generate a drilldown list for material according to periods during the material analysis. You can now use the correlation curve to view the interrelationship between the key figures receipts quantity and the issue quantity of the valuated stock for the designated periods.
Shop Floor Information System:
You want to check the deviation of the key figures ‘target lead time’ and ‘actual lead time’ for a specific work center and how they are distributed over the periods. You perform. a drilldown on the work center according to period during the work center analysis. You can now use the correlation curve to view the interrelationship between both these key figures over the displayed periods.
Plant Maintenance Information System:
You want to check the deviation of the key figures ‘number of recorded notifications’ and ‘number of completed notifications’ for a particular planning group and how they are distributed over the periods. You perform. a planning group analysis and generate a drilldown list of the planning group according to period. You can now use the correlation curve to view the interrelationship between the key figures for the designated periods.
Quality Management Information System:
You want to view the interrelationship between the key figures ‘total lots’, ‘lots in order’ and ‘lots not in order’ for a specific material and how they are distributed over the periods. You create a drilldown list of the material according to period during the material analysis. You can now use the correlation curve to view the interrelationships between the three key figures.
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