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Fundamentals of Big Data & Business Analytics
Jun 2025 Examination
Q1. Indian Railways: Operations and Passenger Experience Optimization Indian Railways manages millions of daily passengers and collects vast amounts of data from ticket bookings, train schedules, GPS tracking, passenger complaints, and real-time weather reports. Discuss how descriptive analyticscan help monitor train delays and passenger demand, how predictive analytics can anticipate congestion, maintenance issues, and peak travel periods, and how prescriptive analytics can optimize train scheduling, crowd control, and service reliability. (10 Marks)
Q2. Big Data in Financial Markets
A stock trading platform collects vast amounts of data from market transactions, investor sentiment on social media, economic reports, and algorithmic trading bots. Explain how firms handle data ingestion, processing, storage, and management using big data frameworks such as distributed computing, cloud storage, and real-time streaming. Discuss how this data is analyzed to detect fraud, optimize trading strategies, and provide personalized investment recommendations (10 Marks)
Q3 (A) Visualization for Urban Traffic Management
A city’s traffic control system collects data from GPS trackers, CCTV feeds, road sensors, and mobile navigation apps to ease congestion. Explain how descriptive analytics can identify high-traffic zones and discuss how visualization tools (heatmaps, real-time dashboards, interactive reports) can help city planners make data-driven decisions. (5 Marks)
Q3 (B) Social Media and Web Analytics for E-Commerce
An online retailer wants to leverage customer reviews, social media trends, browsing behavior, and mobile app data to improve sales. Discuss how social media sentiment analysis, mobile analytics, and web tracking tools can generate insights on customer preferences. Explain how predictive and prescriptive analytics can drive personalized marketing, optimize product recommendations, and improve customer retention. (5 Marks)
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