Umetrics Suite Blog

How data analytics tools support the five DMAIC phases of Six Sigma

September 6, 2018

When it comes to continuous quality improvement and removing defects from a process, Six Sigma continues to be the gold standard in manufacturing and process management. This structured, data-driven methodology for discovering problems relies on rigorous analysis of production and process data. For many companies, engaging in a Six Sigma process can be time consuming or even a bit daunting.

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Multivariate data analysis could be used to evaluate teaching practices in schools

June 28, 2018

Formative assessment has come into focus in recent years. In Sweden, the use of formative assessment is typically emphasized in the curriculum of upper secondary schools. However, scientific studies show both positive as well as no effects at all of formative assessment on student performance.

Furthermore, formative assessment has proved to be time consuming, which obviously is a problem if it has no effects on learning. A new thesis by Daniel Larsson at the Linnæus University, Sweden, shows that multivariate data analysis, MVDA, can be used to give some answers about the effectiveness of such teaching practices.

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Use a spectroscopy tool to make spectral data analysis faster and easier

March 22, 2018

In pharmaceutical and other industries that rely on spectroscopy and multivariate calibration for quality control of manufacturing processes, optimizing the analysis of spectral data is imperative. Using a tool that is specifically designed with spectral analytics in mind can make the job faster, easier and more reliable.

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Why pre-processing your data creates better data analytics models

March 8, 2018

What do we mean by pre-processing of data, and why is it needed? Let's take a look at some data pre-processing methods and how they help create better models when using Principle Component Analysis (PCA) and other methods of data analytics.

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Learn how the Omics skin in SIMCA can improve biomarker analysis and detection

February 8, 2018

In this blog post, we’ll take a closer look at a feature of the SIMCA data analytics software called the Omics skin. So what exactly is an “omics” skin?

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Discover hidden details in your data with OPLS

January 15, 2018

In this blog post we will take a closer look at OPLS*, or Orthogonal PLS, a method to model process data. The advantage of OPLS compared to PLS is that you can uncover hidden details and get a more precise understanding of your data – all of which will help you build better predictive models of your processes.

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Get more control of your production processes: Introducing SIMCA 15 and SIMCA-online 15

November 21, 2017

In a previous blog post we discussed how SIMCA-online can help you make complex data simple and ensure that you get maximum value from your data.

In this blog post we will introduce a number of benefits of the newly released versions of SIMCA 15 and SIMCA-online 15. To mention just a few things, you get a much improved ability to model and control complete processes, including processes with a very high complexity. You also get a much better connection between SIMCA and SIMCA-online so that information can flow in both ways.

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Improve your production processes with real-time data analytics monitoring

November 2, 2017

Using advanced data analytics models in real time opens up a whole new world of possibilities for improving your production processes. Not only does real-time process monitoring provide a level of confidence in your process performance, it can also help improve the overall quality of your production output.

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Understanding the basics of batch process data analytics

October 16, 2017

Analyzing batch process data is a lot like juggling. You have multiple sets of data from different sources and in order to turn them into a meaningful presentation, you need a method of handling them to make sure they are all in the right place at the right time.

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