Malmö, Sweden — MKS Umetrics announces the release of MODDE Go, a competitively priced, easy to use Design of Experiment (DOE) and optimization software that provides the experimentalist with start-to-finish guidance in achieving high quality, reliable results. Click-through steps and full access to an online Knowledge Base help the user create all classical factorial, fractional factorial and optimization designs. The intuitive graphical interface and detailed data visualization aid in understanding complex processes, efficiently testing new hypotheses and sharing results.

MODDE Go has been specifically designed for those who are new to Design of Experiments and need an understandable point of entry to the methodology. With MODDE Go, the new user doesn’t have to be an expert statistician or rely on multiple software packages. An integral analysis advisor clearly explains analysis plots and results, and advises the user as to the best next step on the path to quickly and easily achieve valuable quality analysis. With immediate access to complete DOE and optimization functions and easily interpreted graphics, MODDE Go is a highly effective tool that helps scientists, engineers and statisticians quickly understand complex processes and products

MODDE Go is a robust, cost-effective tool with everything required to get started in DOE at any level of development, and to produce both accurate and timely results.

About MKS Umetrics

MKS Umetrics is a world leader in multivariate technology, providing solutions for design of experiments (DOE) and multivariate data analysis (MVDA). MKS Umetrics offers complete solutions for both off-line and on-line data analysis (continuous and batch processes), all supported by training and consulting services. MKS Umetrics is a subsidiary of MKS Instruments, Inc. (NASDAQ: MKSI), global provider of instruments, subsystems, software and process control solutions to manage critical parameters of advanced manufacturing processes. More information can be found at MKS Umetrics website www.umetrics.com.