The most commonly used technique in descriptive analytics is visualization, as it effectively presents historical data in a clear and interpretable format. Visualization helps stakeholders understand data trends and patterns more easily than raw data. Other techniques like modeling, forecasting, and simulation serve different analytical purposes and are not primarily focused on describing past data.
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In descriptive analytics, the most commonly used technique is visualization, which helps in summarizing and interpreting historical data through visual formats. This approach allows for clearer understanding and communication of information compared to raw data. Although modeling, forecasting, and simulation are important in various analytics roles, they do not fall under descriptive analytics in the same way visualization does. ;