Strategic Applications of IoT and Big Data June 2026 solved assignments
Description
Strategic Applications of IoT and Big Data
Internal Assignment Applicable for Jun 2026 Examination
Q1 A leading retail chain has launched smart shelf technology in its stores. Each shelf is equipped with weight sensors, RFID readers, and motion detectors to provide real- time inventory levels and consumer interaction data. However, the company faces issues with inaccurate data, sensor malfunctions, and unauthorized access to sensitive sales information. The IT director is pushing for a comprehensive IoT data lifecycle management plan that addresses accurate data acquisition, secure data transmission, processing, and responsible data archiving or deletion. Apply the IoT data lifecycle model to create a step-by-step management plan for the retail chain’s smart shelf system. How will you ensure data accuracy, integrity, security, and compliance at each stage from generation to deletion?
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Q2 (A) A leading electronics manufacturer plans to transform its conventional factory into a smart factory using IoT and big data analytics. However, the company’s legacy equipment is deeply integrated into its workflow, making digital retrofitting challenging and costly. Leadership must decide whether to fully upgrade to smart machinery or pursue gradual integration via IoT gateways. Both approaches have implications for operational disruption, ROI, employee adaptability, and competitive agility in a rapidly evolving market. Evaluate the strategic merits and drawbacks of a complete versus phased IoT integration approach in this scenario. Considering factors such as operational efficiency, implementation cost, cultural resistance, and market responsiveness, justify which method you recommend and how it addresses both immediate and long-term business goals.
Q2 (B) A regional logistics company uses IoT and big data to track shipments across road, rail, and sea, employing geofencing, real-time diagnostics, and predictive route planning. Recently, an industry-wide push for data standardisation has presented both a challenge and an opportunity: their legacy devices are not fully compatible with new industry standards, risking data silos and integration issues with partners. Simultaneously, the company faces pressure to remain competitive and interoperable in the market. Assess the implications of legacy system incompatibility with industry- standard IoT protocols for this logistics firm. Evaluate the possible strategies—such as immediate system overhaul, phased upgrades, or middleware solutions—and justify the most effective path forward considering cost, risk, and competitive positioning.
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