Which elements can act as input data for a decision table?

The selection of a decision requirement as input data for a decision table is accurate because decision requirements outline the conditions or contexts under which decisions are made. In the context of decision management, decision requirements represent the criteria or data points that inform the logic of the decisions. They provide the necessary context for understanding how various decisions are interconnected and how they should respond to different input values.

In decision tables, these requirements serve as a structured representation of the input values that will trigger specific outcomes, making them essential for clarifying how decisions should be processed. A decision requirement can include various parameters, each outlining specific data elements that affect the outcome of the decision-making process.

The other options do not directly fit as input data. Automatic decisions may represent the outcomes rather than the inputs guiding the process. Decision gateways, while part of decision narratives, typically denote paths in process flows rather than serving as input data. Sub-decisions also act more as structured outputs or outcomes stemming from the main decision rather than as input criteria. Consequently, focusing on decision requirements as input data captures the essence of decision making in a structured and logical way.