Supply Chain Optimization
Analytical Models
Integrating Data Analysis into Business Strategy
Strategic Planning through Data Analysis
Data Analysis for Predictive Modeling
Summary
Models
Developing Strategic Insights through Analytics
Understanding Business Analytics 
Optimization algorithms, Simulation, Decision analysis 4
...Supply Chain Management: Optimizing inventory and logistics operations
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Analytical Models Risk assessment, credit scoring, fraud detection Operations
Supply chain optimization, inventory management Human Resources Employee performance prediction, turnover analysis
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Integrating Data Analysis into Business Strategy Supply chain optimization, resource allocation
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Strategic Planning through Data Analysis Methods of Prescriptive Analytics Several methods are commonly used in prescriptive analytics:
Optimization Techniques: Mathematical models that determine the best course of action among various alternatives
...Applications of Prescriptive Analytics Prescriptive analytics can be applied across various business functions:
Supply Chain Management: Optimizing inventory levels and logistics
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Data Analysis for Predictive Modeling This approach is widely used across various industries, including finance, healthcare, marketing, and
supply chain management
...assessment and disease prediction Marketing Customer segmentation and campaign
optimization Retail Inventory management and sales forecasting Manufacturing Predictive
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Summary 3 Operations
Supply chain performance evaluation to identify bottlenecks
...Identification of areas for improvement and
optimization ...
Models Applications include: Resource allocation
Supply chain optimization Marketing strategy development Diagnostic Models Diagnostic models analyze data to determine the causes of past outcomes
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Developing Strategic Insights through Analytics 1 Components of Prescriptive Analytics Component Description
Optimization Identifies the best course of action among various alternatives based on specific criteria
...insights: Company Application Outcome Company A Optimized
supply chain operations Reduced costs by 15% and improved delivery times Company B Enhanced customer targeting through marketing campaigns
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Insights from Data-Driven Decision Making Optimization and simulation techniques
...Procter & Gamble Consumer Goods Optimized
supply chain processes, resulting in reduced costs
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Decision Support Retail: Enhances customer relationship management, sales forecasting, and inventory
optimization ...Transportation: Facilitates route planning, logistics, and
supply chain management
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