Operational intelligence is a set of tools that combine operational and historical data, theoretical and practical knowledge, and analytical/methodological approaches (including AI methods) to support real-time decision-making and retrospective evaluation of operations. The aim is to turn data into clear KPIs, alarms and recommendations for more efficient control of the technology.
Operational intelligence turns data into KPIs, alarms and recommendations for more efficient plant control.
Operational intelligence primarily works with real data and provides ongoing insight, predictions and recommendations for daily operations. A digital twin is a mathematical model of the process that allows scenario simulation, testing of control strategies and estimating the impact of changes outside the live system. The two complement each other: operational intelligence can use outputs from the digital twin as another source of information, while the twin uses operational data for calibration and validation.
We can launch the first dashboards and alerts within weeks. Additional integrations and analytics are added gradually so the team keeps control at every step.
Not necessarily. Delivery includes our ongoing support and administration. We provide methodology and training so your team can gradually take over configurations if desired.
We start with a data-source audit. If key measurements are missing we recommend how to add them or bridge the gaps with estimation models. Data quality is addressed continuously so outputs stay reliable.
We design an operational intelligence roadmap tailored to your site — from data audits to concrete steps for embedding AI and digital twins into daily operations.
