The investigative study develops a sustainable model that highlights big data analytics importance in the electroplating industry for decision-making and quality improvements. The requirement for higher production volumes, tighter product tolerances, and the eagerness for better quality with lower cost are forcing the Electroplating Companies to automate their processes and develop more responsive and sustainable process plant monitoring and control systems. Previous work from the authors has enabled real-time monitoring and control facilities by implementing Smart IoT devices in an electroplating industry. The big data collected through the IoT devices are stored in a secure Amazon Web Server (AWS) cloud computing platform which can be utilised in improving production line performance, product failure analysis, and quality of the product.