The Future of Smart Manufacturing Relies on Better Use of Operational Data

First, manufacturers worked to gain visibility. Now, the focus is on using that information to drive action.

Manufacturers today have plenty of data, but many feel overwhelmed by how much there is. Every system on the plant floor produces information. Historians store years of operational data. Dashboards show real-time KPIs. MES platforms, SCADA systems, maintenance software, and reporting tools all send information to the business faster than before.

Despite having more visibility, many manufacturers still react to problems instead of preventing them.

Operators still rely on their own experience. Engineers spend extra time checking data before deciding. Root-cause investigations often take longer than they should. Different teams may walk away from the same production issue with different ideas about what happened.

This is the challenge manufacturers are now tackling. The problem is no longer about collecting operational data. The real issue is getting everyone on the same page about how to use it.

For years, smart manufacturing has focused on connectivity and visibility. Companies have invested in platforms to centralize information, connect systems across sites, and give better access to real-time production data. Tools like the AVEVA PI System became essential because they help enable organizations to collect, store, and understand large volumes of data.

That foundation still matters. But many manufacturers now realize that visibility alone does not lead to better execution. Having access to data is not the same as teams using it to make faster decisions, work together, and get more predictable results. This is where many digital transformation projects slow down.

Companies put new technology in place, but often the workflows stay the same. Dashboards are built, but teams still use spreadsheets and manual steps because their habits have not changed with the new systems.

That is why Operational Change Management is becoming more important in manufacturing. Successful digital transformation is not just about connecting systems. It is about helping people change how they work based on the new information they have.

This means making it clear how decisions are made, how workflows should change, and how teams can stay focused on the same priorities. Without this alignment, even the best technology may not deliver long-term value. Manufacturers who are moving forward use operational data in new ways. They are not just collecting more information. They are developing strategies based on trusted data and creating workplaces where everyone shares a common understanding of performance.

More importantly, they are closing the gap between insight and action. Operational data is now part of daily work, not just something teams review after problems occur. This shift is changing the role of data platforms in manufacturing.

The focus is moving from simply storing historical data to building connected environments that support consistency, reliability, productivity, and faster decisions across the business.

This is the direction smart manufacturing is heading and not just toward more dashboards. It is moving toward making better use of the data manufacturers already have.