MicroStrategy ONE
Introduction to Derived Metrics
You can create a new metric while you are viewing a dashboard.
Subtract the values of one metric from the values of another metric, such as Revenue Forecast - Revenue
. Calculate a monthly average by defining Yearly Profit / 12
. If a dashboard displays sales by dollar amount for a particular region, you can create a derived metric to view the same data in millions, by defining Dollar Sales / 1,000,000
.
Derived metrics are metrics that you can create based on existing objects on the dashboard. A derived metric performs a calculation on the fly with the data available on a dashboard, without re-executing the dashboard against the data source. You can save and display derived metrics on the specific dashboard in which they are created. Only objects that currently exist in your dashboard are used to create a derived metric. If a derived metric requires data that is not available in the Datasets panel, you must update and resave before the new data appears.
Derived metrics calculate subtotals and dynamic aggregation both for functions that have a default dynamic aggregation (such as sum or minimum) and for functions that do not have a default dynamic aggregation (such as average and count distinct). See the In-memory Analytics Help for more information about dynamic aggregation, as well as a list of the corresponding functions.
Related Topics
Create a Derived Metric Using the Metric Function Editor
Create a Derived Metric On a Grid Using a Shortcut
Create a Derived Metric by Combining Two Metrics with an Operator
Create a Derived Metric by Combining Multiple Metrics
Create a Derived Metric by Selecting the Aggregation Function
Create a Derived Metric from an Attribute
Create a Derived Metric from Scratch Using the Metric Formula Editor
Add Conditional Calculations to a Derived Metric Using the If and Case Functions
Change the Aggregation and Subtotal Behavior for a Derived Metric
Provide Statistical Analysis from R Analytics
Edit Derived Metrics from the Dashboard