Clean data is not a gift your systems give you. In manufacturing, it is an operational discipline — one that most plants are failing at without knowing it. Here is how to see clearly, and what to...
Clean data is not a gift your systems give you. In manufacturing, it is an operational discipline — one that most plants are failing at without knowing it. Here is how to see clearly, and what to...
There's a moment every plant manager dreads: the phone call at 2 a.m. telling them a line has gone down. The equipment didn't fail without warning — it never does. The warning was there. It just wasn't...
Most manufacturers don't need a dozen data scientists to get started. They need the right questions, the right data, and a clear path from the shop floor to the dashboard.
Decades of embedded control systems, proprietary protocols, and on-premise data silos aren't going away overnight. But leading manufacturers have found a smarter path — and it doesn't require tearing out the factory floor.
Every minute a machine sits idle, your plant is bleeding money. Unplanned downtime costs manufacturers an estimated $50 billion annually across industries — and yet, in most facilities we visit, the root causes are entirely preventable.
There's a conversation we have with nearly every new client that goes something like this: a plant manager from a pharmaceutical company calls us after sitting through a demo of an analytics platform built for an automotive...
Most manufacturers we talk to have the same story. They invested heavily in an ERP — SAP, Oracle, Infor, whatever the platform — and were told it would give them visibility into their operations.
We've walked the floors of a lot of plants. We've sat in a lot of conference rooms where a plant manager pulls up a dashboard on a 65-inch screen and says, with genuine pride, "We built this...
Dashboards are visible. They're demonstrable to a board. They create the feeling of progress. This is why they attract budget. But a dashboard is only as good as what feeds it, and in manufacturing environments, the data...
Most factories have plenty of data. What they lack is agreement on what to do with it — and who decides. Here's how to close that gap.
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