Data generalization | Lansa

Data generalization is the process of transforming detailed or specific data into a more abstract, summarized form. It involves reducing the level of detail while retaining essential information to protect privacy, enhance security, or simplify analysis. Data generalization techniques include aggregation, anonymization, and suppression, which help mitigate the risk of data disclosure while still allowing meaningful analysis and decision-making. To learn more in detail, Please visit our website.