Which of the following components fall under Enrichment?

Enrichment in the context of decisioning refers to enhancing or supplementing existing data to improve decision-making processes. This involves incorporating additional data sources that provide deeper insights or more relevant information into the decisioning model.

Data Join is the correct choice because it specifically involves combining or integrating data from different sources. This allows the system to access more comprehensive information that can be used to make better-informed decisions. By joining datasets, you enrich the existing data, providing a broader context that can enhance the resulting rules or models.

Champion Challenger, Decision Table, and Split serve different purposes in the decisioning framework. Champion Challenger refers to a method of testing different models against one another to determine which performs better, rather than directly enriching data. A Decision Table is a structured format for modeling decision logic, while a Split is commonly used in data flow processes to divide data into segments or branches for further processing. Although these components are vital in the decisioning process, they do not inherently focus on the enhancement or enrichment of data itself.