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Descriptive analytics summarizes historical data, while prescriptive analytics involves recommending actions based on data insights.
Descriptive analytics involves summarizing historical data to understand past performance without predicting future outcomes. Calculating the click-through rate for online customers is an example of descriptive analytics, not predictive analytics.
Prescriptive analytics focuses on recommending actions based on data insights. Setting the optimal pricing scheme for a hotel to maximize revenue falls under prescriptive analytics, as it involves formulating a plan of action based on data and algorithmic outputs.
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