Supply Chain
Achieving Competitive Advantage Through Analytics
Demand Forecasting
Overview
Developments
Implementing Data Analysis in Organizations
Predictive Analytics for Organizational Growth
Criteria
Framework 
Manufacturing: Predictive maintenance, quality control, and
supply chain optimization
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Data Governance Framework for the Manufacturing Sector In the manufacturing sector, where data is generated from various sources including production lines,
supply chain management, and customer interactions, a well-defined data governance framework is essential for: Ensuring data quality and consistency Facilitating data-driven decision making
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Achieving Competitive Advantage Through Analytics Key areas include: Operational Area Analytics Application Benefit
Supply Chain Management Predictive analytics for demand forecasting Reduced inventory costs Marketing Customer segmentation analysis
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Demand Forecasting Collaborate Across Departments: Involve sales, marketing, and
supply chain teams to gather diverse perspectives
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Overview Operations: Companies apply statistical techniques to optimize
supply chain management, improve quality control, and enhance overall operational efficiency
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Developments Supply Chain Optimization: Utilizing machine learning models to optimize inventory levels and demand forecasting
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Implementing Data Analysis in Organizations This could include improving sales, enhancing customer satisfaction, or optimizing
supply chain management
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Predictive Analytics for Organizational Growth Operations Management Optimizing
supply chain processes and inventory management
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Criteria Supply Chain Optimization Inventory Turnover Ratio Frequency at which inventory is sold and replaced over a period
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Transforming Data into Actionable Insights identify at-risk customers Reduced churn by 15% within one year Company B Inefficient
supply chain management Used prescriptive analytics to optimize inventory levels Increased operational efficiency by 20% Company C
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