VDML for Business Architects: Part 6 of 11, Measurements

Please see the post for VDML for Business Architects: Part 1 of 11, for the introduction to this series of posts.  This part is focused on the implementation of measurements supported by integration of the Structured Metrics Metamodel specification (OMG).
1.    Statistical measurements

VDML measurements are statistical rather than measurements of individual transactions or operations.  This eliminates much of the complexity of flow control in business process models and is better suited to executive mental models and decision-making.  A measurement may be an average or parameters of a statistical distribution as appropriate to support a desired level of analysis.

2.    Context-based measurements

Measurements are in the context of a selected scenario, as noted in Part 2.  However, a collaboration (capability method) may be applied in different contexts—different activity networks and/or different delivery organizations.  These measurements are determined by the particular context in which the capability method is applied.

3.    Rapid evaluation of measurement adjustments

Changes to business design or performance measurements can be immediately evaluated in value stream effects and value propositions, for multiple value streams and lines of business.

4.    Market-based value contributions

In addition to differences in scenario and capability method applications, different value propositions may have different customer satisfaction computations and weights associated with customer preferences such as for different market segments or products.

5.    Product mix impact analysis

Using scenarios, different product mixes can be evaluated and their impact on performance and market value propositions can be compared, analyzed and affected.