November 2, 2025
November 2, 2025
ISA-95 isn’t just about integrating ERP and MES. It’s about helping you capture and organize context across the entire production process, so your data tells a complete story.
Why context matters?
Let’s say a QA test flags a product as out-of-spec. The natural questions are:
⇨ What job was it part of?
⇨ Which line produced it?
⇨ What materials were used?
⇨ Who was operating the machine?
⇨ Was there a maintenance event before or after?
If you can’t answer those questions quickly, you’re not just dealing with a defect, you’re dealing with a data blind spot.
ISA-95 helps you capture these answers, systematically.
It does this by defining a structured activity model where all manufacturing actions and data points are tied to anchor objects.
Things like:
✅ Equipment
✅ Job orders
✅ Material lots
✅ Personnel
✅ Work definitions
These are your context containers.
They allow you to ask:
“What happened during this job?”
“What data is tied to this material lot?”
“How did this machine perform over the last three shifts?”
Kudzai Manditereza is an industrial data and AI educator and strategist. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping manufacturing leaders implement and scale Smart Manufacturing initiatives.
Kudzai shares this thinking through Industry40.tv, his independent media and education platform; the AI in Manufacturing podcast; and the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. Recognized as a Top 15 Industry 4.0 influencer, he currently serves as Senior Industry Solutions Advocate at HiveMQ.