





Data Integration & Quality
Integrating data from various sources, such as sensors, historians, and control systems, requires maintaining high data quality through filtering and pre-treatment. Centralizing data from sensors, monitoring systems, and inspection reports allows for comprehensive analysis and insight extraction, offering a unified solution for operational data management.

Process Performance Optimization
Maximizing efficiency and productivity involves identifying opportunities for process optimization, minimizing energy consumption, and reducing operating costs. Organizing production through demand forecasts and inventory management supports the development of robust production plans and schedules, optimizing resource utilization, reducing lead times, and meeting quality requirements consistently.

Real-time Monitoring & Optimization
Supporting real-time operations involves rapid data analysis and effective decision-making. Early detection of equipment degradation enables proactive maintenance scheduling. Addressing challenges like data latency, processing speed, and algorithmic complexity is essential for ensuring timely insights and responsive actions in dynamic operating conditions.
Discover powerful insights and make data-driven decisions.
Discover the impact of TrendMiner in the words of our customers.
Optimize your critical steam systems. Discover how TrendMiner uncovers inefficiencies by calculating steam mass balances and monitoring consumption. This session covers practical use cases for identifying leaks and predicting energy performance in real-time.

WEBINAR ON DEMAND
In this webinar we talk about advanced analytical approaches to innovative and cutting-edge solutions toward energy transition and sustainability. We dive into a use case related to the efficient monitoring of the production processes with the help of energy models.
