Appendix. Framework for How Data Informs Decisions
Data can inform decision making in many different ways, which are diagrammed in Figure A-1. This diagram shows nine places where data informs a CDD during simulation, labeled T(i) through T(ix). There are also seven places where the CDD acts as a framework for a data-tracking mechanism after the action is taken in reality, labeled R(i) through R(vii).
Figure A-1. A framework for how data informs decisions. Source: lorienpratt.com (reproduced with permission).
The data integration points circled in Figure A-1 are:
T(i): A simple lever, which in reality (R) will be an action, and which can be represented by data. For instance, the number of minutes you choose to spend reading this chapter can be represented by a number.
T(ii): A more complex lever, perhaps representing a plan. For instance, you might plan to spend 10 minutes studying DI today, 20 tomorrow, and a half hour on Wednesday.
T(iii): A scalar external: something you can’t control, but whose value influences how actions lead to outcomes. For instance, the price of a competitor’s product.
T(iv): A more complex external. For example, this might be a prediction of market salaries for your job position over the next three years.
T(v): A dependency link that represents how one factor influences another, and whose form may be a model informed by data.
T(vi): An intermediate, ...
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