One way of prioritising criteria is to differentiate between must, should and can criteria:
A decision matrix helps when there are several alternatives for solving a problem. The alternative solutions are evaluated on the basis of meaningful criteria. A decision matrix can be weighted or unweighted. In a weighted matrix, the criteria are multiplied by certain factors to express their relative importance. The procedure for this method comprises the following steps:
Below is an example of a weighted evaluation matrix with the weighting factors 1 (completely unimportant) to 5 points (very important) and the evaluation factors 1 (very poor) to 10 (very good).
Decision | |||||
---|---|---|---|---|---|
Should I no longer run my applications in my own data centre but in a cloud? | |||||
Use cloud services | Use your own data centre | ||||
Criteria | Weighting | Rating | Total criteria | Evaluation | Sum of criteria |
Scalability | 5 | 8 | 40 | 5 | 25 |
Simplicity | 4 | 5 | 20 | 10 | 40 |
Cost saving | 3 | 8 | 24 | 6 | 18 |
Dependency set | 4 | 5 | 20 | 8 | 32 |
Internet access | 5 | 10 | 50 | 5 | 25 |
Data security | 1 | 10 | 10 | 1 | 1 |
Total variant | 164 | 141 |
In this example, the „Use cloud services“ variant is preferable.