Abstract: The data management system receives data associated with an entity from data source. The data comprises a current data and a reference data. A category of current data is predicted to be one of duplicate data and non-duplicate data, with respect to reference data, using a plurality of Supervised Machine Learning (SML) classifiers, where each of the plurality of SML classifiers predicts category of the data individually. The data management system generates a confidence factor of the duplicate data category and the non-duplicate data category based on the prediction of each of the plurality of SML classifiers and thereafter determines current data to be one of, duplicate data and non-duplicate data based on confidence factor to manage data of entity.