The age of the IoT (Internet of Things) is upon us. New devices and equipment are coming on line all the time, and it can be a little overwhelming. It all contributes to the feeling that there are too many disparate data sources out there. But the IoT has been coming for a while. This post shares our first experience of it.
There is a lot of evidence that real-time closed loop quality data systems help manufacturers perform at higher levels. But many manufacturers are struggling. They're struggling because they have too much or too little data, or it takes way to much effort to get to their data, or they only get to the data too late to make any difference , or...
Once you've eliminated redundant and irrelevant testing, you can concentrate on breaking down the data silos so you can make better use of the data that matters. I can't tell you how many times I've seen these data silos in action. Data silos hide critical information and make it very difficult to make meaningful performance improvements.
The key to maximizing data is not about availability or capture but rather having capable solutions for delivering the right intelligence to the right people at the right time.
What is lost in a lot of the buzz surrounding the shake up concerning Big Data is the practical advice we need to know to understand how it will directly impact the way we manage quality. This LNS Research paper identifies 5 critical impacts, and how point-solution SPC software such as GainSeeker Suite can help us wade through it.
This infographic "Closed-Loop Quality Management" from LNS Research, outlines some [...]
Leading employees toward healthier lifestyles, maintaining a culture geared [...]
Step aside boring, there's a new Chart Skins interface in GainSeeker that may plot a new course for how Control charts are typically displayed. Even the white dress shirt was eventually displaced a few days a week by colored shirts and later, Hawaiian prints on some casual Fridays.
Further, in the quality management arena, people are talking about Big Data—especially with more focus on finding correlations in real-time performance data. Many of today’s quality analytics solutions are designed to support the use of Big Data analytics, so manufacturers can cultivate and analyze massive amounts real-time data generated by SPC and other quality process data sources.
Crown is a long-time user of the GainSeeker Suite. They have an outstanding team, a fantastic product, and they are a great customer. GainSeeker helps them ensure the quality of their products, and GainSeeker's real-time dashboards are a critical component in their visual factory information system.
