We all know that collecting data is vitally important because of the information that it generates. Operators need to collect data to uncover process control information—at the micro, shop-floor level. But shop floor data can also be rolled up across production lines and products to provide a macro view of quality for quality professionals and managers.

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Are You Spending All Your Time Managing Data?

Your SPC solution should be able to easily aggregate all your collected data, roll it up together, and provide you with broad-based quality insights. Let’s talk more about that and why it’s important.

Many quality systems are really a collection of quality systems and data collection devices that have been cobbled together over the years. The reasons this happens are varied. But a big drawback to this hodge-podge is that individual pieces of the quality system can’t talk to one another because their data formatting is so different—even proprietary. And because they don’t talk to one another, it is very difficult (if not impossible) to roll up all that data into a single, cohesive, big picture of quality.

For years, quality experts have been trying to knit all those disparate quality system data sets together with spreadsheets. But it’s hugely frustrating to spend hours copying data out of separate systems, modifying data formats, and painstakingly pasting it into spreadsheets.

It’s ugly. Plus, it takes massive amounts of time to manage. So much time that some companies hire dedicated employees whose sole job is to create and manage the spreadsheets. The bottom line is that managing quality data with spreadsheets just doesn’t work.

Roll with It: Accessing Data from a Single Location

A software-as-a-service (SaaS) quality solution makes data dramatically easier to manage. All data values (whether from different product codes, production lines, or plants) are posted in one place. It’s a beautiful thing. The data format is standardized, whether it’s coming from a scale, a hand-held gauge, or a programmable logic controller (PLC).

Whatever the data collection device, the right SaaS solution can and should accommodate different data values, scales, and formats. Ultimately, this means that the task of managing data is simple. No copying, no pasting, and no juggling spreadsheets.

Information Is What We Seek

When all your data is in one place and easily aggregated, you have more than just data. You have information. And in manufacturing, information is power.

It’s fantastic that operators collect data and get information about process control so they can improve their processes. But it’s important to remember that collecting data on the shop floor is not an end unto itself.

Data—and information—should not stop on the shop floor. You should expect your SPC solution to give that data a second life.

Unifying Data Gives it a Second Life

Having the ability to look at data in its summary form (in aggregate) is that second life. It enables you, the quality pro, to dig into the data and uncover the greatest opportunities for improvements in your operations. The unified data repository is at the center of almost all of the transformative benefits you can glean from a SaaS quality system.

United Nations

Picture the United Nations: flags and people from every corner of the world. An important piece of every UN speech is the translation that goes on behind the scenes so that when a delegate gives a speech—in German, for example—that speed is understood by speakers of every other language.

Now picture your average manufacturing environment: lots of machines and data collection devices, each speaking its own unique language. The SaaS quality solution that’s worth its weight in gold is the one that can hear what each device is saying, translate it into a common language (or format), and store everything in one place. Then, when it comes time to put it all together, all that data is easily rolled up and summarized—ready to become information that you can use to improve business performance.

The Ultimate Translator

Okay, so admittedly the United Nations analogy is not perfect because that German speaker is translated by a third party. The translator inevitably puts her own spin on what the speaker is saying. So, an audience member hears exactly what is being said by the translator, not the speaker.

Imagine, though, that the translator could translate exactly what the speaker is saying—every single word. Imagine that every data collection device spoke one common language across all your plants, all your production lines, with no possibility of misinterpretation. Your SaaS SPC system should do this for you. It’s the key to making cross-plant, enterprise-wide improvements that generate big bottom-line business results.

We invite you to visit our website to learn more about how the data you already collect can help you solve your biggest challenges.