In many factories, digitalization starts with the most visible elements: a connected machine, an OEM screen, or software displaying basic production data.
The problem arises when the plant needs to go further: comparing lines, unifying KPIs, integrating data with the ERP or MES, reusing information for traceability, quality, energy, or continuous improvement, and scaling the model without rebuilding integrations over and over again.
This guide helps you understand how to build an open, scalable, and cost-effective industrial data architecture from day one, avoiding tech lock-in, hidden costs, and digitalization projects that end up growing in complexity without delivering the expected control.















