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Data analytics is categorized into four main types, each serving a distinct purpose in analyzing and interpreting data.
1. Descriptive Analytics - Purpose: Summarizes past data to identify patterns and trends. A business reviews last year’s sales data to determine which products performed best. 2. Diagnostic Analytics - Purpose: Explains why something happened by analyzing relationships within data. A company investigates a sudden drop in website traffic by looking at factors like SEO changes or competitor activity. 3. Predictive Analytics - Purpose: Uses historical data and statistical models to forecast future outcomes. An e-commerce site predicts customer purchase behavior based on previous shopping trends. 4. Prescriptive Analytics - Purpose: Recommends the best course of action based on data-driven insights. A healthcare provider suggests personalized treatments using AI-driven medical data analysis.
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