Abstract: Disclosed are systems and methods for identifying potential fraud committed by a cohort of people using models for identifying relationships among people to build the cohort and using fraud models to identify indicators of frauds from attributes of people. Embodiments may predict a likelihood applicants seeking privileges to distribute governmental benefits by identifying members of a cohort associated with an applicant, assigning a value to the strengths of the relationships between people in the cohort, determining weights for identified indicators of fraud identified using fraud models, determining a risk score for the cohort using the values and data points, and then performing a clustering analysis for the risk score of the cohort to determine a risk factor for fraud committed by the applicant and the cohort.

Abstract: An integrated Resource Capacity Planning (RCP) process and tool program is presented. The RCP program includes identifying future labor needs and predicted labor supply. A gap analysis between the predicted future needs and supply is performed. Based on the gap analysis, resource actions are planned and taken to alleviate predicted future labor shortages. The predicted gap analysis is later compared with actual future needs/supply to evaluate the effectiveness of the parameters used in the RCP program. The RCP program is enterprise-independent, thus permitting re-use of data and parameters, and allowing the RCP program to be scalable.