Abstract: A method and system of identifying account duplication in data management systems utilizes a dual-phase approach, consisting of a projection phase and a clustering phase. In the projection phase, user account and transaction data is obtained and grouped into transactions entities. These transactions entities are then processed to create transactions entity projections. In the clustering phase, the transactions entity projections are grouped and aggregated according to specified parameters, which results in the generation of transactions graphs. The data from the transactions graphs is processed and analyzed to generate reliable indicators representing the presence or absence of account duplication in a data management system.