3 posts tagged with "data-analytics"

Manufacturing generates more data than nearly any other industry — yet according to McKinsey, factories use less than 5% of the data they collect. The gap isn't data collection. It's analysis. Most plants have PLCs logging thousands of data points every second, SCADA historians archiving years of process data, and MES systems tracking production orders. What they don't have is a way to turn that noise into decisions.

Manufacturing analytics tools bridge that gap. Here's what's actually worth your time in 2026.

Manufacturing generates more data per day than most industries generate in a month. A single CNC machine produces 2,000-5,000 data points per second. A factory floor with 50 machines generates hundreds of millions of readings daily. Yet most manufacturers use less than 5% of this data for decision-making. The rest evaporates — never captured, never analyzed, never turned into the insights that separate world-class operations from average ones. This guide is about closing that gap: not with a theoretical framework, but with a practical playbook for capturing, analyzing, and acting on manufacturing data.

Every factory floor generates thousands of data points every second — cycle counts, temperatures, pressures, alarm states, energy consumption, material flow, machine status. The vast majority of this data is thrown away. Factory floor analytics is the discipline of capturing that data, extracting intelligence from it, and using that intelligence to make better manufacturing decisions. Here's how it works in practice.