Data analytics techniques are methods used to analyze and interpret data to uncover trends, patterns, and actionable insights. These techniques include descriptive analytics, which summarizes historical data, predictive analytics, which forecasts future outcomes, and prescriptive analytics, which provides recommendations for decision-making. Advanced techniques like machine learning, clustering, and regression analysis further enhance data processing. By applying data analytics techniques, businesses can optimize operations, improve customer experiences, and drive strategic growth.
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Data analytics techniques are methods used to analyze and interpret data to uncover trends, patterns, and actionable insights. These techniques include descriptive analytics, which summarizes historical data, predictive analytics, which forecasts future outcomes, and prescriptive analytics, which provides recommendations for decision-making. Advanced techniques like machine learning, clustering, and regression analysis further enhance data processing. By applying data analytics techniques, businesses can optimize operations, improve customer experiences, and drive strategic growth.