Between 40% and 70% of these projects do not fully meet their stated objectives. The causes sit below the software layer.
Most manufacturing leaders have seen it firsthand: an APS that nobody trusts, a MES that runs alongside Excel instead of replacing it, a PLM that never made it past engineering.
The numbers confirm the pattern. Between 40% and 70% of these projects do not fully meet their stated objectives, according to Panorama Consulting, Gartner and multiple empirical studies.
The uncomfortable finding is that failure is almost never rooted in the software itself. It concentrates in five technical causes that sit below the software layer, causes that most implementation plans do not even address.
We mapped those five causes in a one-page infographic, with the data behind each one. Download it to see where projects actually go wrong.
Starting a project, or already living with one of these failures? Talk to our team. We have a proven approach to avoid these gaps or to solve them once they have opened.
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