Predicting
Essentials
Streamlining Business Processes Using Analytics
Data Mining for Market Risk Assessment
Evaluate Business Opportunities with Analytics
Using Data to Drive Predictions
Data Mining for Understanding Customer Preferences
Statistical Analysis for Sales Forecasting
Data Mining in Fraud Prevention Techniques 
Predicting fraudulent transactions based on complex relationships in the data
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Essentials Predicting sales based on advertising spend
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Streamlining Business Processes Using Analytics By analyzing historical data and
predicting demand fluctuations, the company was able to: Reduce inventory holding costs by 25% Improve order fulfillment rates to 98% Enhance supplier collaboration through better demand forecasting Case Study 2: Retail Chain A major retail chain implemented
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Data Mining for Market Risk Assessment Regression Analysis: Regression models help in
predicting the relationship between variables
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Evaluate Business Opportunities with Analytics Prescriptive Analytics Prescriptive analytics plays a crucial role in evaluating business opportunities as it goes beyond merely
predicting future outcomes
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Using Data to Drive Predictions By
predicting customer demand, businesses can streamline their supply chain operations and reduce costs
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Data Mining for Understanding Customer Preferences This is useful for
predicting customer behavior
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Statistical Analysis for Sales Forecasting Logistic Regression: Used when
predicting binary outcomes, such as whether a sale will occur or not
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Capability By analyzing customer purchasing patterns and
predicting future demand, the company reduced excess inventory by 20% and increased sales by 15%
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Creating Predictive Models for Efficiency optimization Logistic Regression A technique used for binary classification problems,
predicting the probability of an event occurring
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