Page By Processing      Back to Previous

 

The Page By options for a report allow you to create a set of pages based on the values of the attributes included in the Page By setup. You can define the paging attributes when the report is created or once you have generated the output. If you are adding an existing report attribute to the Page By panel, the current output dataset is used. If you adding a new attribute to the Page By panel, the report is regenerated to add the specified attribute(s) to the output dataset and create pages based on the values of the attribute.

In addition to using attributes in the Page By setup, you may also use metrics. Since metrics represent one group of data elements in the report setup, all metrics will be on the page by panel as a drop down list with a label of Metric. The drop down list allows you to view one metric at a time and the metrics are calculated based on the attribute reporting bands.

Examples of Page By using attributes

Examples of Page By using metrics

Page By using Attributes      Back to Previous

The following is a visual diagram that illustrates pages of data within your output dataset using attributes. The example assumes you have Data Type and Region defined for the Page By options on a report and the Region attribute is filtered to only include Northwest Central, Southwest Central, Mountain and West.

In this example, the Data Type and Region are used for the Page By options. In the output, the Data Types are Prime and Subprime; the Origination Regions are Northwest Central, Southwest Central, Mountain and West.

The output dataset will be presented in pages based on the combination of values for Data Type and Origination Year.

The combinations are as follows:

Data Type of Prime and Region Northwest Central

Data Type of Prime and Region Southwest Central

Data Type of Prime and Region West

Data Type of Prime and Region Mountain

Data Type of Subprime and Region Northwest Central

Data Type of Subprime and Region Southwest Central

Data Type of Subprime and Region West

Data Type of Subprime and Region Mountain

Filler_PageByExample.png

PageByExample_Servicing.png

 

The following illustration demonstrates the example above for creating pages by attribute values.

The overall report includes all loans that have a Data Type of Prime or Subprime and a region of either Northwest Central, Southwest Central, Mountain or Pacific.

Each combination of values for Data Type and Region comprise individual pages when the output is viewed. As noted above, the attribute values for each page would then be as follows:

Loans with data type classification of Prime in Northwest Central Region

Loans with data type classification of Prime in Southwest Central Region

Loans with data type classification of Prime in Mountain Region

Loans with data type classification of Prime in Pacific Region

Loans with data type classification of Subprime in Northwest Central Region

Loans with data type classification of Subprime in Southwest Central Region

Loans with data type classification of Subprime in Mountain Region

Loans with data type classification of Subprime in Pacific Region

Filler_PageByExample.png

PageByIllustration_Servicing.png

 

Page By using Metrics      Back to Previous

You may place the report metrics on the Page By setup to view metrics one at a time as separate pages of data. While not common, defining metrics as pages may make your analysis easier to view and produce a better view of the metric plot points.

Metrics are placed on a report as one entity; meaning all metrics must be placed in the same report element (i.e., row header, column header or Page By). When placed in the Page By panel, you will see a single field labeled "Metrics" with a drop down list box of each metric. You may only view one metric at a time based on the selection in the Metrics Page By drop down.

This type of setup is best suited for graphed trend output as it allows you to include multiple metrics in one output dataset and limiting the view to one metric at a time eliminates the issue of varying data values and scaling.