Descriptive analytics - The "what happened" stage of data analysis. Here, the focus is on summarizing and describing past data to understand its basic characteristics., Diagnostic analytics - The “why it happened” stage. By delving deep into the data, diagnostic analysis identifies the root patterns and trends observed in descriptive analytics., Predictive analytics - The “what will happen” stage. It uses historical data, statistical modeling and machine learning to forecast trends., Prescriptive analytics - Describes the “what to do” stage, which goes beyond prediction to provide recommendations for optimizing future actions based on insights derived from all previous.,

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