Industrial firms must be able to quickly identify ways to tighten production schedules and maximize revenue. Time is of the essence in industrial operations, so it’s critical that workers be able to consume data as close as possible to where it’s produced. Gaining insight into operations and production capabilities to make informed decisions often involves time-intensive IT projects and a highly specialized skill set.
Reducing operations environment complexity for manufacturers and producers and their employees who are driving operations is a constant challenge. Let’s discuss how using Industrial Internet of Things (IIoT) data helps organizations transform their businesses and gain a competitive edge.
Analytics for Industrial Productivity
Making the most of data and analytics is key to improving enterprise-wide productivity. Making decisions when and where they matter most requires access to information in real time to allow for ad hoc analytics and perform advanced analysis by pulling structured and unstructured data from almost any existing source in the enterprise.
At the heart of a data-driven approach is software that takes advantage of the smart devices and connected systems spreading across industrial enterprises. Software lets users explore their operations, using and fusing data from any existing source — be it a controller, historian, enterprise resource planning (ERP) system and everything in between.
Previously, building a dashboard started with a data-integration plan that detailed how raw data would be transformed into production intelligence. It required manually mapping out current data sources, key performance indicators (KPIs) and other details.