Chapter 2: Data Analytics in Various Fields

What is a key objective of predictive analytics in healthcare?

• Reducing hospital cafeteria costs

• Forecasting disease outbreaks and patient readmissions

• Designing medical uniforms

• Optimizing pharmaceutical marketing budgets

Which tool is widely used to analyze patient data for personalized treatment?

• Manufacturing IoT sensors

• Retail POS systems

• Electronic Health Records

• Financial risk models

How do retailers use clustering algorithms?

• To group customers by purchasing behavior

• To predict stock market trends

• To monitor factory machinery

• To analyze student test scores

What metric do retailers analyze to reduce stockouts?

• Customer footfall patterns

• Social media engagement

• Classroom attendance data

• Inventory turnover rates

Which technique helps banks detect fraudulent transactions?

• Anomaly detection algorithms

• Curriculum design frameworks

• Sentiment analysis

• Supply chain optimization

What is a key use of time-series analysis in finance?

• Monitoring school enrollment data

• Optimizing restaurant menus

• Tracking patient recovery rates

• Predicting quarterly revenue trends

What is the primary goal of prescriptive analytics in manufacturing?

• Predicting food trends

• Tracking student performance

• Recommending improve real-time data

• Analyzing historical sales data

How do institutions use learning analytics?

• To identify at-risk students

• To design government tax policies

• To optimize factory workflows

• To forecast retail demand

Which application helps restaurants reduce food waste?

• Sentiment analysis of online reviews

• Predictive ingredients demand forecasting

• Fraud detection in transactions

• Equipment failure prediction

How does data analytics improve public policy decisions?

• By predicting student exam scores

• By tracking retail sales patterns

• By analyzing census data for resource allocation

• By optimizing manufacturing supply chains