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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.
What is the empirical relation between mean median and mode in positively skewed frequency distribution?
___and aspartate are the primary carboxylation product of C₄ cycle.
A soil with 30% sand, 40% silt, and 30% clay is classified as:
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Immediate and ultimate source of nitrogen is
Which of the following is propagated by stem cuttings and used extensively in bedding plant designs?
A delivery approach that involves using one vehicle to pick up goods from various suppliers and transporting them in a single shipment to one customer i...
Which of the following scientists are credited with the discovery and understanding of the excretory role of Malpighian tubules in insects?
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Curcumin is extracted from