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Descriptive Analytics

Descriptive Analytics

Understanding Descriptive Analytics Descriptive analytics is the interpretation of historical data to understand trends and patterns. It involves summarizing and presenting data in a meaningful way to facilitate understanding. Importance Descriptive analytics lays the foundation for further analysis by providing a snapshot of past performance. It helps identify areas of strength and weakness, enabling organizations

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Prescriptive Analytics

Prescriptive Analytics: Enhancing Decision Making with Data Prescriptive analytics is the advanced stage of business analytics that utilizes data, mathematical algorithms, and machine learning techniques to provide recommendations for decision-making. It goes beyond descriptive and predictive analytics by recommending the best course of action to achieve desired outcomes. Importance in Decision Making In an increasingly

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Predictive Analytics

The Power of Predictive Analytics

The Power of Predictive Analytics Predictive analytics involves the use of statistical algorithms and machine learning techniques to analyze historical data and forecast future outcomes. It leverages a combination of data mining, modeling, and artificial intelligence to identify patterns and make predictions with a high degree of accuracy. 1.1 Definition and Overview At its core,

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What are Fast-Moving Consumer Durables?

What are Fast-Moving Consumer Durables? Imagine walking into a store and being surrounded by a sea of products. Among them, you’ll find items like washing machines, refrigerators, and televisions. These products, which are frequently bought and replaced by consumers, are known as Fast-Moving Consumer Durables (FMCDs). Unlike fast-moving consumer goods (FMCGs) like snacks or toiletries,

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