While energy is at the heart of many meaningful changes that can be made to improve your business, it isn’t the only source for improved business performance in an industrial facility. Broad industrial optimization means real-time data can be immediately analyzed for instant decision-making and quick alterations in the manufacturing process. It improves the usefulness of artificial intelligence and machine learning to guide performance optimization. Automation as we know it significantly evolves across facilities. And critical, decision-making analytics will be available at our fingertips on mobile devices.
The good news is that in this case, you really can have your cake and eat it too. The same data infrastructure put in place to optimize energy usage can be easily extended, without significant additional cost, to enable scalable, industrial optimizations across your business.
Business leaders are well aware that companies need to continually innovate and optimize their business to improve the bottom line. And that’s just what we help them achieve. We can help leaders make more strategic decisions and innovate effectively, which has a direct impact on profitability and market share.
In addition to the day-to-day oversight of production, facility managers also seek ways to improve efficiencies, enhance processes and productivity, and reduce costs. We can help them make sense of the overwhelming amount of disparate data, providing the information and analytics they need to make more educated, strategic decisions.
Data scientists are tasked with creating and implementing the systems that enable the deep, integrated analysis of production data. However, creating a platform to integrate, normalize and transform disparate data has proved challenging and expensive. We deliver custom and off-the-shelf solutions they can build upon as their business grows.
of all factory data is discarded before any insight is derived
is spent annually on custom industrial applications and services
in wasted operational equipment effectiveness
of all IoT projects fail
of IoT projects never move past proof of concept
more revenue growth when you implement a sustainable digital transformation