Unclear processes. Underestimated interfaces. Data that does not meet the system’s requirements.
I keep encountering these issues in automation projects.
They take me back to the years I spent on the software side. Later, when supporting automation projects, I saw how closely software and equipment depend on the same preparation.
We first need to understand how the process really works.
Then we can align the data, interfaces, software and equipment around it.
This work starts long before the first line of code or the installation.
👉 What is most often underestimated during project preparation: processes, interfaces or data quality?