Abstract: A method of analyzing employment-related data from a plurality of disparate systems is disclosed. The employment-related data is retrieved from the plurality of disparate systems. The plurality of disparate systems includes a human resource information system (HRIS) and an applicant tracking system (ATS). The data comprises applicant information and employee performance metrics. The retrieved data is transformed by standardizing and aggregating the data into a unified dataset based on a common semantic model that aligns definitions and formats across the disparate systems. The unified dataset is analyzed to identify trends, patterns, or correlations within the data using one or more analytical or machine learning algorithms. The unified dataset or corresponding analyses are updated in real-time through an application programming interface (API).