Data commingling refers to the practice of combining data from different sources, categories, or types into a single dataset. This can occur in various contexts, such as in analytics, data storage, and data management. The aim of data commingling is often to enhance data analysis, improve decision-making, or provide more comprehensive insights. However, data commingling can also raise concerns, particularly regarding data privacy, security, and compliance.
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