Event logs are useful data sources for deriving knowledge about the organizational grouping of human resources in the context of business process execution. In the previous chapters, we concentrated on discovering organizational models that effectively characterize resources, their grouping, and their involvement along multiple process dimensions. We proposed approaches to automatically constructing such models with minimum data requirements and evaluating discovered models to ensure that they capture the organizational information stored in event logs completely and exactly (i.e., achieving good model fitness and precision). In this chapter, we will focus on the application of organizational models to support workforce analytics concerned with employee groups. This is built upon the organizational model analysis in the OrdinoR framework: extending an organizational model with the temporal information about events and cases in an event log, so that the behavior of resource groups and their members can be examined. In Chapter 4, we focused on using this idea for diagnosing low-quality discovered models, that is, to locate issues that cause a model to deviate from the subimport event log (Section 4.3.3). Here, we enhance the idea for a different purpose — we aim at utilizing event logs to create “profiles” of resource groups to quantitatively characterize how they work in business process execution, from various aspects and across different periods. Specifically, we will look into what aspects can be measured as the work profiles of resource groups, and will discuss how these measures can be analyzed to provide insights into managing resource groups.