A comprehensive document detailing how DAT’Power optimizes your energy performance.

Decarbonizing a factory without reliable data is like operating blind. IIoT platforms allow for measuring emissions at each station, identifying potential savings, and documenting progress for ESG and regulatory reporting. Methodology and concrete levers.

Energy drift often goes unnoticed until the utility bill arrives. By measuring significant energy uses, calculating energy performance indicators (IPE), and configuring threshold and drift alerts, a monitoring platform like DAT'Power enables anomaly detection within hours. Methodology, practical examples, and CEE funding: here is how to shift from retrospective observation to early detection.

Predictive maintenance is not confined to AI labs. Using standard sensors, an IIoT platform, and a phased deployment approach, it can be implemented directly on your critical equipment. Key assets to target, signals to monitor, CMMS integration, and CEE funding: here is how to deploy it effectively with DAT'Process.