Retail Marketing
Key Performance Indicators
Forecasting Models
Data Mining for Effective Risk Assessment
Review
Predictive Insights
Leveraging Big Data for Business Intelligence
Delivering Insights for Business Development
Data Science 
Retail: Customer segmentation, inventory management, and demand forecasting
...Marketing: Targeted advertising, sentiment analysis, and customer behavior analysis
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Key Performance Indicators 
Marketing Customer Acquisition Cost (CAC) The cost associated with acquiring a new customer
...Examples of Key Performance Indicators Here are some specific examples of KPIs used in different industries:
Retail Sales per Square Foot Inventory Turnover Rate Customer Return Rate Manufacturing Overall Equipment Effectiveness (OEE) Production Downtime Defect Rate Healthcare
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Forecasting Models 
Retail sales analysis Causal Models Causal forecasting models assume that the variable being forecasted is affected by other variables
...Marketing campaign effectiveness Input-Output Models Analyze the relationships between different sectors of an economy
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Data Mining for Effective Risk Assessment 
Retail: Retailers analyze customer data to identify purchasing trends, manage inventory risks, and optimize
marketing strategies
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Review 
Marketing strategy, customer segmentation
...Retail: Inventory management, pricing strategies, and customer recommendations
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Predictive Insights 
functions, including: Industry Application
Retail Forecasting sales trends and optimizing inventory management
...Marketing Customer segmentation and targeted advertising strategies
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Leveraging Big Data for Business Intelligence 
This is particularly useful for inventory management,
marketing strategies, and financial forecasting
...Walmart
Retail Leveraged big data analytics to enhance supply chain efficiency and reduce costs
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Delivering Insights for Business Development 
notable case studies: Company Industry Outcome Company A
Retail Increased sales by 20% through targeted
marketing campaigns
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Business Analytics (K) 
Applications of Business Analytics Business Analytics can be applied across various sectors and industries, including:
Retail: Analyzing customer purchasing behavior to optimize inventory and personalize
marketing ...
Trends Analysis Techniques 
Additive Decomposition Multiplicative Decomposition Applications Seasonal decomposition is particularly useful in
retail for analyzing sales patterns over different seasons and planning inventory accordingly
...Applications Regression analysis is widely used in
marketing to understand consumer behavior and in finance to evaluate risk and return on investments
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