Best Operations Management Software for dataPARC Historian

RtDUET analyzes data in mining, mineral and metal processing industries in real-time, with root cause analysis and Pareto visualizations to inform decisions that maximize asset availability when it counts. Proven effectiveness in the world’s elite mines. Accurate data is the foundation of manufacturing analytics and operational intelligence that can give your operations the competitive advantage. RtDUET’s advanced analytics and operational intelligence, based on machine data, provides valuable insight into your production’s performance and highlights areas for improvement.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

Manage risk. Reduce downtime. Increase capacity. {Put the world's largest knowledge collection of asset performance information to work in your day-to-day operations.|You can use the largest collection of asset performance information in the world to improve your day-today operations.} Transform messy work order data into a reliable single source of truth. You can optimize your maintenance program with work order data that is automatically cleaned up and stored correctly. Find out how much maintenance really costs you. Real-time cost analysis. Perform asset survival analysis and recommend replacement parts. Compass gives you a deeper insight into your maintenance costs, component reliability, and component lifespan. Know exactly what each maintenance dollar was spent on. All relevant data can be accessed in one dashboard for business intelligence. You can quickly filter by equipment type, location, and other criteria.

The process industry is a complex one. Everything is connected and there are very few historical events. You never know what the next failure might be. Everything is monitored. Our software detects quality issues and failures in rotating or static equipment, as well as deviations in operation modes and process behavior. You don't need to waste your time with false alarms. Instead of hundreds of anomalies per day, we produce five actionable alerts per day. You can be notified about a failure up to 24 hours ahead of time. No more surprises in middle of the night. Proactive, planned maintenance saves money. Industrial assets require a different approach. Our predictive monitoring system automatically combines the expertise of your experts with machine learning. Your sensors and data are already in place. Your process engineer will only take two weeks to design the plant's structure, behavior, and then the software will be up and running in no time!

Manufacturing is at a crossroads. There is tremendous pressure to 'transform’ operations and move into Industry 4. As you attempt to digitize operations, optimize processes, increase share, and possibly with fewer resources, it may feel like the world is weighing heavily on your shoulders. Braincube can help you take control over your data and transform operations. We connect your data from any system in any format. Your central data is always up-to-date and accessible 24/7. Our middleware ingests, cleans, and reports in real-time on your raw data to give you actionable insights into how to reduce risk, reduce costs, optimize, and improve quality. It automates data manipulations and calculations, eliminating the time-consuming and expensive process of selecting, extracting, transferring, and preparing your data. Your raw data is always placed in context and is ready for analysis. You now have structured, contextualized data (a Digital Twin), that you can use at any time and on any line.