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Predictive analysis leverages both historical and real-time data to predict future events, helping businesses anticipate changes in demand, optimize resources, and make strategic decisions. Techniques like regression analysis, time series forecasting, and machine learning models are employed to analyze patterns and forecast outcomes with varying levels of probability. This process is critical in industries like finance, healthcare, and retail, where understanding potential trends can lead to competitive advantages and risk mitigation. Option A is incorrect as it focuses solely on past data without the forward-looking approach of predictive analysis. Option C is incorrect as customer categorization is typically part of segmentation, not predictive analysis. Option D is incorrect because analyzing past financial performance doesn’t involve forecasting future trends. Option E is incorrect because visualizing data aids comprehension but doesn’t directly relate to forecasting.
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