You can restrict the data displayed for specific users by setting filters for analysis variants. You can set multiple filters for an analysis variant.
On the launchpad, choose Business Process Operations
. Then choose Business Process Analytics
.
On the Key Figure Variants
tab, choose Manage Variant Categories and Variants
.
On the Variant Maintenance
tab, select a variant.
In the Filter Characteristic
screen area, choose the Add Filter Element
button.
Enter the filter characteristic which you want to filter. There are the following filter characteristic types:
Time characteristic, for example, Calendar day
or Calendar week
.
System characteristics, for example, System ID
or Monitoring ID
.
Analytical key figure specific characteristics, for example, sales organization. Which characteristics are available depends on the selected key figure.
Select a filter type. The following filter types are available:
Regular filter
Relative filter
Runtime user
Filter for Top N characteristic values
Save your entries.
Note
You can define more than one filter for a variant, but you can only use one time characteristics filter per variant.
A regular filter filters certain values of a filter characteristic directly. Regular filters can be used with all filter characteristics.
Typical use case: You want to display data for a single sales organization only.
Select the filter characteristics and the Regular Filter
filter type.
To define a select option, enter the following data:
Sign
(mandatory): I (Include) or E (Exclude)
Note
For time characteristics, only I (Include) is supported.
Option
(mandatory): EQ (Equal), BT (Between), CP (Contains Pattern)
Note
For time characteristics, only BT (Between) is supported.
Low
(mandatory): Enter a characteristic value you want to exclude or include in the filter.
If you have selected BT (Between): High
(optional): If you want to exclude or include a range of characteristic values, enter values for Low
and High
To define more select options, choose Add
and repeat steps 1 to 3.
Save your entries by choosing the Save Filter
button.
Using a relative filter, you can filter dynamically. Relative filters can only be used for time characteristics.
Typical use case: You want to display data for the last ten days.
Select the filter characteristics and the Relative Filter
filter type.
To define a select option, enter the following data:
Sign
(mandatory): I (Include)
Note
Even though exclude can be selected, it is not supported.
Option
(mandatory): BT (Between)
Low (mandatory): Enter the lowest value of a relative range.
High
(mandatory): Enter the highest value of a relative range.
Save your entries by choosing the Save Filter
button.
With the filter for top n characteristic values, you can filter for only the highest values of the selected filter characteristic. The top n filter cannot be used with time characteristics.
Select the Filter for Top N Characteristic
Values filter type.
Define the select options.
Save your entries by choosing the Save Filter
button.
Note
The filters are used during data collection in the order in which they were defined. When using the filter for top n characteristic values in combination with other filters, set the filter for top n characteristic values as the last filter. Otherwise, data collection runtime is longer and performance is reduced.
After saving a filter, the filter appears in the Analytical Key Figure Details
screen in the Filter Characteristic
screen area.
To display the select options for a filter in the Select Options
screen area, select a filter.
To delete a filter, select it and choose Remove Filter Element
.
To add a new filter, choose Add Filter Element
.
Note
You can maintain more than one filter for one variant, but you can use only one on time characteristics filter per variant.
To change the sequence of the filter elements, select a filter and choose the up or down button.
Set filters as specifically as possible. When you set a filter (for example, on solution and monitoring ID), you restrict the amount of data to be evaluated. This improves the performance, so the data is displayed faster.
Note
Filtering is especially important when using the detail list connector. The detail list connector is used implicit for analysis types Age Analysis and Advanced Benchmarking. The detail list connector only works if a filter is set to only a single detail list. Otherwise, an error occurs. A detail list is uniquely identified by system, client, solution, and monitoring ID. It is sufficient to set a filter on a monitoring ID.