INNOV–Datafactory leverages the power of data to drive industrial and environmental performance.
We help businesses collect, structure and interpret their operational data to improve quality, productivity and decision making.
Our approach combines IoT sensors, artificial intelligence, digital twins and interactive visualization tools designed for decision makers, technicians and operators.
We help companies organize and analyze their operational data to foster a data-driven culture and improve decision-making.
Deployment of IoT sensors (temperature, vibration, humidity, energy, flow, pH, etc.) connected via LoRaWAN, industrial Wi-Fi or wired networks.
Processing raw data from multiple sources (sensors, PLCs, SCADA, ERP, Excel, external databases) to create a coherent and traceable dataset.
Design of custom interfaces using Power BI, Grafana, Dash, or internal web applications, enabling:
Integrated solutions for monitoring processes, quality or environmental conditions, with automated alerts.
Simulation of processes or machines to understand and predict behavior prior to changes.
Anomaly detection, yield or failure forecasting, quality control using supervised learning.
Introduction to data reading, interpretation and visualization to foster a data-driven culture.
System status, data sources, potential for IoT/AI integration
For monitoring quality, processes or environmental parameters.
Charts, maps, 3D or thermal views, configurable to user needs.
Predictive model (e.g., fermentation monitoring, machine performance, energy consumption)
Sensors and visualization tools (short- and medium-term)
Measured performance and gains
User Guide: Training in Reading and Interpreting Data
Harness the power of the IoT, AI, and digital twins to turn your operational data into a strategic competitive advantage.
