Which parameter is used while creating analytics jobs to run specific criteria analytics?

When creating analytics jobs in Saviynt, the use of category and sub-category parameters is essential for running analytics that are tailored to specific criteria. These parameters help in organizing and filtering data based on predefined classifications, enabling users to focus on particular sets of data that meet certain characteristics or needs.

The category defines broad groupings of data, while the sub-category further narrows it down, allowing for a more granular approach to analytics. This structure is beneficial when you want to analyze trends, identify anomalies, or generate insights that are relevant to specific segments of your data landscape. By utilizing these parameters, organizations can create tailored analytics jobs that yield more meaningful and actionable insights.

Other options, while integral to the overall functionality of the platform, do not serve the same specific purpose in defining criteria for analytics jobs. Risk might align with security concerns or compliance analytics, Tag could help in labeling or categorizing specific assets or entities, and Recommendations often relate to suggestions generated based on analytics findings, but they do not directly represent the criteria used for creating and filtering analytics jobs in the same way category and sub-category do.