How does the application of Predictive Modeling differ from EDA and CDA in data-driven decision making?
- Predictive Modeling does not play a role in data-driven decision making.
- Predictive Modeling is used after EDA and CDA to make future predictions based on the data.
- Predictive Modeling is used before EDA and CDA to anticipate the outcomes.
- Predictive Modeling, EDA, and CDA all serve the same purpose.
Predictive Modeling, which is often performed after EDA and CDA, is used to make future predictions based on the data. These predictions can inform decision-making processes, particularly in data-driven organizations.
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