Forecasting
Using Data Analysis for Continuous Improvement
Modeling
Enhancing Strategies Using Text
The Business Value of Data Analysis
Key Findings
Improve Project Management
Analyzing Key Metrics for Decision Making
Big Data and Customer Engagement 
This involves: Identifying trends and patterns
Forecasting customer needs Anticipating churn and implementing retention strategies 3
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Using Data Analysis for Continuous Improvement Sales
forecasting, risk management Prescriptive Analysis Suggests actions based on data-driven insights
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Modeling Some common applications include: Financial
Forecasting: Predicting future revenues, expenses, and cash flows
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Enhancing Strategies Using Text This can assist in:
Forecasting market demands
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The Business Value of Data Analysis Supply Chain Management: Data analysis enhances supply chain efficiency through better demand
forecasting ...
Key Findings Supply Chain Optimization
Forecasting demand accurately reduces excess inventory and stockouts
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Improve Project Management Predictive Modeling:
Forecasting future project performance and potential issues
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Analyzing Key Metrics for Decision Making The integration of business analytics into decision making can lead to: Improved accuracy in
forecasting Enhanced ability to identify patterns and correlations Data-driven decision making Increased agility in responding to market changes Descriptive Analytics in Decision Making
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Accuracy It is a critical aspect of statistical analysis and plays a vital role in decision-making processes,
forecasting, and performance evaluation
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Data Analysis Techniques Decision Trees, Neural Networks) Applications Predictive analysis is applied in: Sales
forecasting Risk assessment Customer behavior prediction 4
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