Metrics Management uses measures as performance components that collect quantifiable data. Measures should be linked to your organization’s strategic objectives. It is important that someone be accountable for each measure. Ownership should be assigned to the individual or group directly responsible for a measure’s performance and data accuracy. Measure owners should then enter commentary that explains the performance of that measure. In the example shown in Figure 1‑2, the VP MKTG user is the owner of the Business Development measure.
Figure 1‑2 Measure owners
In Metrics Management, there are three types of measures:
Data measures always appear at the lowest level of the view structure. They are submeasures within a view. A data measure is information that is entered either manually or imported into Metrics Management. You aggregate data measures at higher levels to make up formula measures or group measures.
Formula measures are mathematically comprised of data measures or other formula measures in the system. They are always parent measures and provide information, such as index results.
Group measures associate disparate measures. Formulas are not always appropriate. For instance, net income and customer survey cannot easily be associated by using a formula. Using grouping, these measures can be associated. Creating a group measure includes the submeasures that must be weighted according to their importance.
Data measures always appear at the lowest level of the view structure. They are submeasures within a view. A data measure is information that is entered either manually or imported into Metrics Management. You aggregate data measures at higher levels to make up formula measures or group measures.