Causal modeling involves the creation of a conceptual model that maps out the relationships between different variables. This typically includes:
Identifying Variables: These can be internal factors like business processes or external factors like market trends. Establishing Relationships: Determining how these variables interact with each other. Data Collection: Gathering relevant data to support the relationships identified. Analysis: Using statistical methods to test the relationships and validate the model.