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.
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 [...]
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.
“Data” is a word never far from quality professionals’ minds. But when most companies are talking about data and its associated challenges, the conversation is usually about obtaining the intelligence needed to react to an event or make a decision based on that data.
Over the years, we’ve seen customers achieve incredible success with GainSeeker Suite SPC Software. GainSeeker adds thousands - sometimes millions - of dollars to their bottom line. In the process, GainSeeker empowers a cultural transformation to a data driven organization. These successes aren’t accidental, and they’re not guaranteed. They’re the result of good planning and execution, and great leadership.
There is no shortage of data in modern manufacturing companies. The problem is that much of this data is stuck in special purpose silos.
I'm hearing this complaint a lot recently: “We have all this data stuck out there in all of these systems, and we can't get to it in a timely manner. Sometimes days or weeks go by before we see it. It is so cumbersome to extract, and we're operating so lean that we just can’t sustain this effort. We need to free these people up to do more value-added work. It's killing us.”
A pure play SPC software implementation (like GainSeeker Suite) is the fastest, surest way to increase throughput, quality, revenue generating capacity, and profitability.
Great post by Bill Franks over at Harvard Business Review titled "Data for All! How New Tools Democratize Visualization." His thesis is that there are a bunch of new data visualization tools out there, and that mostly he sees people use them to do the same kinds of charts that they could do in Microsoft Excel....
