A manufacturing company manages a large volume of information on a daily basis: customer orders, production orders, inventory, raw materials, machine time, labor, scrap, downtime, lead times, quality, suppliers, costs, shipping, maintenance, and production capacity.
This information typically already exists within the organization. It lives in an ERP, Excel files, production reports, whiteboards, paper sheets, accounting systems, quality tools, emails, shop floor conversations, or in the accumulated knowledge of supervisors and experienced employees.
The problem is not always a lack of information. The problem is often that it's scattered.
As long as the company operates at limited volume, this fragmentation can seem manageable. Managers know the important orders, key employees know which machines are causing problems, and variances are handled case by case.
But as the company grows, orders increase, products diversify, and lead times become more critical, this way of operating becomes increasingly fragile.
In manufacturing, data becomes strategic when it enables a clearer understanding of what is actually happening on the shop floor, earlier detection of variances, and better decisions before problems affect costs, lead times, or quality.
