The Industrial Internet of Things (IIoT) offers significant opportunities for manufacturing companies to optimize production by harnessing data from numerous sensors and devices. However, challenges such as integrating legacy machinery with modern analytics platforms and ensuring seamless data communication among diverse proprietary systems must be addressed. The Elastic Stack provides a solution for collecting, enhancing, and analyzing IIoT data, enabling predictive maintenance and improved production efficiency. This platform supports real-time data processing and visualization through Elasticsearch and Kibana, allowing manufacturers to gain valuable insights into their operations. Machine learning capabilities further enhance IIoT applications by enabling predictive analytics and anomaly detection, which can reduce costs and improve product quality. The security of interconnected systems also becomes crucial, especially with the advent of Industry 4.0, and Elastic SIEM aids in monitoring for potential security threats. Overall, leveraging the Elastic Stack for IIoT data analysis allows companies to not only optimize production processes but also develop new business cases, ultimately leading to improved efficiency and reduced resource consumption.