Abstract: Various methods, apparatuses/systems, and media for qualitative and quantitative data analysis are disclosed. A processor accesses a plurality of data sources to extract a plurality of supervision data; creates a data model based on the plurality of supervision data; implements a rule engine that is configured to apply qualitative and quantitative data analysis algorithm on the extracted plurality of supervision data and the data model; implements artificial intelligence or machine learning algorithm to generate a knowledge graph based on the data model; detects outlier behavior data from the plurality of supervision data by integrating the rule engine and the AI/ML algorithm; analyzes the outlier behavior data; generates alerts data based on analyzing the outlier behavior data; and transmits the alerts data to a user computing device for taking remedial actions in correspondence with the alerts data.