Event-Driven BI Pipelines for Operational Intelligence in Industry 4.0
DOI:
https://doi.org/10.15662/IJRAI.2022.0502005Keywords:
Event-Driven BI, Operational Intelligence, Industry 4.0, Real-Time Data Processing, Event Stream Processing, Predictive Analytics, Scalable ArchitectureAbstract
The emergence of Event-Driven Business Intelligence (BI) pipelines is an innovative operational intelligence approach in Industry 4.0 because it allows real-time decision-making by processing all types of dynamic and diversified data. These pipelines are created to compute and analyse the events as they happen and enable real-time insights and responses to businesses that need to function in a highly connected and data-heavy environment. An Event-Driven BI pipeline is often designed based on event producers, an event processing engine, data storage systems and analytics modules connected by an event bus or message broker. The ongoing emissions of events by event producers, IoT devices, sensors and enterprise systems are captured and processed in real time. The event processing engine has the role of filtering, enriching, and aggregating events, and finally stores them in the data warehouses or distributed storage systems. The pieces of information stored are then used by analytics and BI dashboard tools, which analyse the business data to produce operational insights. The key points of the architecture include the processing of event streams, real-time data ingestion, and data storage, wherein the low-latency and high-throughput processing are guaranteed. It can be described that the Industry 4.0 systems have enhanced operational efficiency, predictive maintenance, and better resource management through the implementation of Event-Driven BI pipelines in them. The paradigm shift lets businesses be active to new challenges, and opportunities provide it with a competitive advantage in the digital era.





