Method and apparatus for configurable model-independent decomposition of a business metric
View Patent ↗Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.
1. A computer implemented method comprising:
accessing a response model and a plurality of activities, the response model and the plurality of activities used to compute an expected business metric, wherein each of the plurality of activities has a reference value and an executed value;
computing, using a processor, a contribution to the business metric for each of the plurality of activities using the response model based on setting a first activity to one of the corresponding reference and executed values and setting others of the plurality of activities to the value state opposite of the first activity, wherein the computing each of the contributions is independent of a response model type;
computing, using a processor, an incremental response by subtracting the response model with the plurality of the activities in the reference value from the response model with the plurality of the activities in the executed value; and
computing, using a processor, a synergy by subtracting a summation of each contribution to the business metric from the incremental response.
2. The computer implemented method of claim 1 , wherein the business metric is one of sales volume, revenue, profit, and market share.
3. The computer implemented method of claim 1 , wherein the first activity is set to the reference value and the others of the plurality of activities is set to the executed value.
4. The computer implemented method of claim 1 , wherein the first activity is set to the executed value and the others of the plurality of activities is set to the reference value.
5. The computer implemented method of claim 1 , wherein computing the contribution further comprises computing a predicted sales volume with the first activity in one of the corresponding reference and current values.
6. The computer implemented method of claim 5 , wherein computing the contribution further comprises computing a raw volume contribution that equals the executed sales volume minus the predicted sales volume.
7. The computer implemented method of claim 1 , further comprising:
computing a base business metric using the response model with the plurality of activities having the reference values.
8. The computer implemented method of claim 1 , further comprising:
allocating a portion of the synergy to each of the contributions.
9. The computer implemented method of claim 8 , wherein the allocating is based on the absolute value of that contribution.
10. The computer implemented method of claim 8 , wherein the allocating the portion of the calculated synergy is based on the formula:
V
i
Final
=
V
i
+
V
i
∑
j
=
1
n
V
j
·
S
where V i Final is the final contribution for an activity i, V i is the raw contribution for activity i, and S is the calculated synergy.
11. A machine-readable storage medium, embodied on a magnetic hard disk or an optical disk, having executable instructions to cause a processor to perform a method comprising:
accessing a response model and a plurality of activities, the response model and the plurality of activities used to compute an expected business metric, wherein each of the plurality of activities has a reference value and an executed value;
computing a contribution to the business metric for each of the plurality of activities using the response model based on setting a first activity to one of the corresponding reference and executed values and setting others of the plurstlity of activities to the value state opposite of the first activity, wherein the computing each of the contributions is independent of a response model type;
computing an incremental response by subtracting the response model with the plurality of the activities in the reference value from the response model with the plurality of the activities in the executed value; and
computing a synergy by subtracting a summation of each contribution to the business metric from the incremental response.
12. The machine-readable storage medium of claim 11 , wherein the business metric is one of sales volume, revenue, profit, and market share.
13. The machine-readable storage medium of claim 11 , further comprising:
allocating a portion of the synergy to each of the contributions based on the absolute value of that contribution.
14. The machine-readable storage medium of: claim 11 , wherein computing the contribution further comprises computing a predicted sales volume with the first activity in one of the corresponding reference and current values.
15. An apparatus comprising:
an input module, including a processor, to access a response model and a plurality of activities, the response model and the plurality of activities used to compute an expected business metric, wherein each of the plurality of activities has a reference value and an executed value;
a raw contribution module, including a processor, to compute a contribution to the business metric for each of the plurality of activities using the response model based on setting a first activity to one of the corresponding reference and executed values and setting others of the plurality of activities to the value state opposite of the first activity, wherein the computing each of the contributions is independent of a response model type;
a synergy module, including a processor, to compute an incremental response by subtracting the response model with the plurality of the activities in the reference value from the response model with the plurality of the activities in the executed value, the synergy module further configured to compute a synergy by subtracting a summation of each contribution to the business metric from the incremental response.
16. The apparatus of claim 15 , wherein the business metric is one of sales volume, revenue, profit, and market share.
17. The apparatus of claim 15 , further comprising:
a final contribution module to allocate a portion of the synergy to each of the contributions based on the absolute value of that contribution.
18. A system comprising:
processor;
memory coupled to the processor though a bus; and
a process executed from the memory by the processor to cause the processor to
access a response model and a plurality of activities, the response model and the plurality of activities used to compute an expected business metric, wherein each of the plurality of activities has a reference value and an executed value;
compute a contribution to the business metric for each of the plurality of activities using the response model based on setting a first activity to one of the corresponding reference and executed values and setting others of the plurality of activities to the value state opposite of the first activity, wherein the computing each of the contributions is independent of a response model type;
compute an incremental response by subtracting the response model with the plurality of the activities in the reference value from the response model with the plurality of the activities in the executed value; and
compute a synergy by subtracting a summation of each contribution to the business metric from the incremental response.
19. The system of claim 18 , wherein the business metric is one of sales volume, revenue, profit, and market share.
20. The system of claim 18 , wherein the process further causes the processor to allocate a portion of the synergy to each of the contributions based on the absolute value of that contribution.