Umetrics Blog

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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Explaining differences or grouping data?

October 5, 2017

When to apply OPLS-DA vs PCA for metabolomics and other omics data analysis

Do you know when to use OPLS-DA and when to use PCA/SIMCA data analysis techniques? Find out how to uncover the differences in your data with these classification and discriminant analysis methods.

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Data Analytics for Beginners

September 28, 2017

How Multivariate Data Analysis Can Separate the Players from the Gorillas

We have more data than ever before coming at us from many sources – both in our personal lives as well as business. Data is everywhere: from the production flow of a manufacturing floor to the sales results in a grocery store to the number of shares a page gets on Facebook. How do you sort it all out in a way that makes sense? Which data should you worry about and which should you ignore?

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What is DOE? Design of Experiments Basics for Beginners

September 21, 2017

Whether you work in engineering, R&D, or a science lab, understanding the basics of experimental design can help you achieve more statistically optimal results from your experiments or improve your output quality.

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The exciting future of pharmaceutical manufacturing

September 12, 2017

“The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.” — Bill Gates

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How multivariate data analysis can raise your manufacturing processes to new levels

September 5, 2017

Producing and distributing raw materials and foodstuffs with a low profit margin is a challenging business. One major supplier has made significant gains through applying multivariate data analysis (MVDA) to their manufacturing processes and logistics.

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Smoothing the way for paper

August 29, 2017

The key to process manufacturing success is a mixture of knowledge and experience supported by mastery of data. A presentation I recently attended put this into sharp focus. A major paper manufacturer was faced with the challenge of maintaining paper smoothness during production. They approached this problem in a way that gave them enormous insight into their process, the ability to control it in real time, and ultimately lead to cost savings and maintained quality. There were also a few added benefits, including the ability to spot, diagnose and solve problems in real time.

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How augmented reality and data analytics work hand-in-hand

February 27, 2017

Attending IFPAC 2017? Come to booth #407 to see how augmented reality and data analytics work hand-in-hand. Using Microsoft Hololens technology, Sartorius Stedim Data Analytics is making groundbreaking innovation which we will showcase and demo at IFPAC 2017. Get a personal demo, and see, among other interesting use cases, how multidimensional design spaces can be visualized as a hologram using augmented reality.

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Real-time control of final products

February 1, 2017

One of the difficulties in the manufacturing industries is to really know the product quality. There are several approaches on how to enable real-time decisions about which products to keep and which to scrap.

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