If your manufacturing business is like most, you gather data to make sure nothing’s going wrong. That’s critical, certainly, but if you only focus on what went wrong, you’re missing the overwhelming majority of the story.

Quality is more than simply checking to make sure that the final product meets specs. When it’s done right, quality can differentiate your company and make your product stand out. Quality can help build and protect your brand.

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Data Have a Bigger Story to Tell

Most companies gather and analyze statistical process control (SPC) data to answer a single question: Are the products I’m making bad or good? Mostly, companies use quality data to find problems and fix them.

Quality professionals are brilliant when it comes to identifying issues. And quality folks are superb problem-solvers. But what happens to the data they don’t focus on? That is, what happens to most of data—the information that indicates products are actually good and within specification limits?

Typically, those data are simply forgotten. They are discarded or left to languish in databases or filing cabinets. That’s a shame, because taken together, the data you collect—especially the data that are within specifications—have a story to tell. Those stories can help you make huge improvements in quality. But if those data are ignored, the biggest quality stories never get told.

The greatest golden nuggets of information are found in the overwhelmingly high percentage of data values that fall within specifications.

This is what sets forward-looking companies apart from their competitors: They step back once a week, once a month, or once a quarter and look at the big picture. They aggregate and summarize all of their quality data so that they can gain operational insight into what’s happening across their enterprise and on all of their manufacturing shop floors.

Quality = Process Quality + Product Quality

Here’s an example from a company InfinityQS worked with. This client, a packaging manufacturer, was going to shut down one of its plants because its quality was the worst of all its 20+ facilities. The closure would have put hundreds of people out of work in a small community that couldn’t afford such a hit.

We installed our quality management software and went with the age-old wisdom that if you want to improve something, you have to measure it. That’s exactly what we did in this plant; within three months, the plant had all but eliminated defects in its finished products.

Miraculous? Not really. By gathering data and looking at the big picture, plant management discovered high-level issues—as well as lots of improvement information—which allowed them to concentrate their efforts and improve both process and product quality. The result? The plant went from “worst to first” in quality across the entire corporation. They became the model for how to dramatically improve business performance through the use of quality intelligence. It was nothing short of a transformation.

Quality Insights Deliver Real ROI

Consider another real-life example of what quality information and insights can do for a manufacturer. Managers at a large distillery were noticing volumetric fill variances in a variety of different products. Nothing was out of spec, but a lot of bottles seemed to be filled a bit more than required. And while customers might appreciate a bit more in their bottle than advertised, even a little bit of overfill is an unnecessary cost for any beverage company. In an effort to reduce overfill, they asked for InfinityQS’s help.

As a test, management decided to run a pilot of our quality software on just one production line. Data was collected not only on fill volumes, but also on bottle breakage, sanitation, temperatures, and flow rates. We set up quality checks to run at specific intervals, with the software reminding operators when to collect data. Plus, operators were automatically alerted when issues occurred. They dealt with out-of-spec problems and statistical alarms and focused their attention on fill volumes using real-time analyses.

The result? Over several weeks, the fill volume data identified manufacturing inconsistencies and variations in nozzle performance. After changes were implemented, the company estimated that volumetric savings exceeded $800,000 per year—and that’s for just one production line.

Listen to the Story Your Data Tells

Quality isn’t just about fixing issues and responding to problems. Rather, it’s about a never-ending search for information that can help reduce defects and costs while enhancing customer loyalty.

When you truly listen to the stories your data are telling you—even data that is not out of specification—you can strengthen your brand, improve business performance, gain market share, and create legions of devoted customers.

And saving some money in the process doesn’t necessarily hurt.

We invite you to visit our website to learn more about how quality can transform your business performance.