In today’s industrial landscape, increasingly more oriented towards energetic sustainability and operative efficiency, data management is a crucial element for the companies, especially because often energy efficiency and consumption have become strategic priorities. Data that is accurately collected and analyzed allow the companies to identify waste areas, optimization of resources usage, significant reduction in consumption causing a reduction in operating costs and environmental impact. The ability to monitor and manage data in real time allows the companies to be more competitive and resilient over time. The objective of this thesis is to describe the steps of a real project concerning energy management by data collection from industrial machines with possible applications to the field of agriculture as well.