What is the purpose of data analytics?

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Data analytics is about turning data into insights that guide decisions. It involves examining, cleaning, and modeling data to uncover patterns, trends, correlations, and anomalies that help answer questions like what happened, why it happened, what might happen next, and what actions to take. Because its primary purpose is to derive actionable understanding from data, it’s the best fit for the question. Storing raw data, securing data, or deleting data after processing are important data-management and governance tasks, but they don’t themselves produce the insights that analytics aims to deliver.