Strategic Applications of IoT and Big Data December 2026
Q.1: A retail company has deployed IoT-enabled shelves, motion sensors, and environmental monitors across 200 stores nationwide to optimise inventory management and reduce product spoilage. The data generated is transmitted using a mix of Wi-Fi and LoRaWAN protocols, then processed in both edge devices and the cloud for real-time decision-making. However, the company has recently experienced incidents where sensitive sales and inventory data was intercepted during transmission, raising concerns on data privacy and compliance. The security team needs to ensure that only authorised staff access specific datasets and that data confidentiality is not compromised during transmission across diverse protocols. Apply IoT data lifecycle management principles to recommend a robust security framework for protecting sensitive retail data both in transit and at rest. How should the company implement encryption, authentication, and access controls across different transmission protocols and storage layers to ensure regulatory compliance and prevent unauthorised data access?
Answer:
Introduction:
The use of Internet of Things (IoT) technologies enables an organization to gather and analyze the data about the functioning of physical objects. In the given case, the company employs IoT-enabled shelves, motion sensors and environmental monitors in 200 stores. They provide information regarding the inventory, its location and movement, the condition of the environment and sales. This data is sent via Wi-Fi and Low-Power Wide Area Network (LoRaWAN) technologies and partly processed at the edge and in the cloud. IoT helps the organization to manage the inventory by providing managerial information about it, assisting in making decisions and reducing products’ spoilage. However, IoT technologies imply cybersecurity and privacy challenges as the data they generate holds valuable information.
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Q.2 (A): NovaTextiles Limited has invested in IoT-enabled sensors for real-time production monitoring. Despite significant data inflow, managers struggle to translate analytics into tangible cost savings and workflow improvements. Meanwhile, supply chain partners express concerns about data privacy, and line supervisors question the robustness of new predictive maintenance protocols compared to traditional practices. Assess the effectiveness of NovaTextiles Limited’s current IoT and big data implementation from multiple stakeholder perspectives. Evaluate how the company can improve its process to balance supply chain transparency, data privacy, and the tangible realization of operational efficiency, recommending justification for adopting advanced analytics tools or refining existing protocols.
Answer:
Introduction:
NovaTextiles Limited has adopted the usage of Internet of Things (IoT) sensors and big data analytics to monitor production process in real-time. However, having a huge volume of information does not provide companies with an advantage as it has become hard for managers to convert data into savings and smoother operations. Moreover, partners of the organization have raised the topic of privacy, whereas managerial employees are becoming skeptical about the accuracy of the predictive maintenance compared to the previous practices. With that being said, it is important to assess the efficiency of NovaTextiles’ application from the operational, managerial, supply chain partner, employee, and data security perspective.
Q.2 (B): A global parcel delivery firm, FleetX, leverages IoT-connected telematics and cloud analytics to improve route optimisation and reduce delivery times. The company has seen cost savings and lower emissions, but some drivers feel that the rigid, algorithm-driven routes decrease responsiveness to on-ground realities and personal safety. Meanwhile, the operations team highlights improved customer satisfaction and compliance with environmental regulations due to optimised routing. FleetX’s board is assessing whether to allow more driver autonomy or rely strictly on centralised, automated routing decisions for all fleets. Critically assess the merits and drawbacks of prioritising automated, data-driven route optimisation versus preserving greater driver autonomy in FleetX’s fleet operations. Which strategy should the board adopt to balance efficiency, employee engagement, safety, and regulatory demands? Provide a comprehensive evaluation to support your recommendation.
Answer:
Introduction:
FleetX uses the Internet of Things (IoT) and cloud computing technologies in its operations to deliver the fastest, most cost-effective, and environmentally friendly delivery solutions. While automated routing recommendation systems can factor in dozens of variables to suggest the most optimal delivery paths, the realities of the road often require human intuition and common sense. Not all of the traffic possibilities, road closures, bad weather, hazardous conditions, customer preferences, and other relevant factors can be accounted for in the code. Taking complete automation one step too far may result in reduced driver engagement and even pose a safety risk. FleetX should consider the overall impact of their choices on the drivers they employ. The main dilemma that the company faces is not between drivers and technology but rather how to best utilise the two resources.