The Unscrambler® X
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All-in-one Multivariate Data Analysis and Design of Experiments software ■ Easy data importing options with intuitive plots and interactive data ' Cutting through complex data uThis intelligent engine borders upon data sets to underlying structures... mining, as it cuts through prediction and is simplicity itself" classification problems " scientific Scientific. computing world Computing Bring data to life

The Unscrambler is much more intuitive and has all the features I need plus more advanced methods than generalist statistical software Søren Bech, Head of Research, Bang & Olufsen

Software for every industry For almost 30 years, The Unscrambler® has enabled organizations across many industries and research fields to improve product development, process understanding and quality control through deeper data insights. Pharmaceuticals Medical Devices Food & Beverage Pulp & Paper Mining & Metals Research & Academia

Multivariate data analysis is a highly visual approach that helps you identify and understand patterns in large or complex data sets. Easily accessible raw data plots are a very useful tool in the analysis. The Unscrambler® X is the only major multivariate data analysis software that includes a seamlessly integrated Design of Experiments (DoE) module, giving you a powerful all-in-one tool for your data analysis needs. In the 3D Scatter Plot above, data from paper manufacturing is shown, where each of the samples can be seen in relationship to its level of scatter, opacity and brightness....

The plot above shows Partial Least Squares (PLS) regression analysis of designed data. PLS analysis is a useful alternative to classical DoE (ANOVA) when constraints or missing data give a non-orthogonal design that cannot or should not be analyzed using ANOVA. From the dialog box, users can chose classical ANOVA or PLS analysis depending on the orthogonality of the design and correlation between responses. Statistics are shown in the dialog box to help guide the choice of analysis. The figure above shows a scores plot with PCA overview using Kennard-Stone sample selection, where the points...

The image above shows a Partial Least Squares (PLS) Regression analysis of petrochemical data in a number of different plots including Scores, Loadings, Explained Variance and Predicted vs Reference values. The samples are clearly divided into their octane levels from low (blue) to medium (red) and high (green). PLS is a powerful regression method which finds the best possible linear combination of indirect variables for predicting the desired outcome e.g. product quality or yield. The Unscrambler® X allows you to see several different plots on the same screen, giving you a complete picture...

The Unscrambler® X includes a number of advanced data mining methods including Principal Component Analysis (PCA), which is a powerful tool to see, for example, how a process evolves by measuring the trajectory of samples. PCA will also help identify the variables with the most influence on a model. In the image above, PCA was used to model batch process data for a pharmaceutical product, with the calibration sample in blue showing how the batch evolves. A subsequent batch was projected onto the model (green), with the data showing the batch started later but closely following the...

Using The Unscrambler, we were able to resolve a product quality problem which has saved us $1M per year. It also gave us better process understanding which we have used to optimize other manufacturing processes Siri Sølberg, Senior Process Engineer, Nidar AS

The enhanced DoE in The Unscrambler® X includes ANOVA and response surface analysis also on constrained (D-Optimal) designs. The screen above shows a DoE overview where a corner of the response surface is removed as it is outside of the specified design region. The D-Optimal algorithm ensures the design can still be analyzed using classical ANOVA. The latest version of The Unscrambler® X has greatly improved graphics and interactivity. For example, the new response surface plot includes sliders for setting the levels of non-plotted design variables as well as constraints on both design and...

The Unscrambler® X has a wide range of data import options for standard formats such as Excel and ASCII as well as various scientific instrument formats. When The Unscrambler® X is installed in compliance mode, the user is required to input their Windows credentials to log on. The software has a range of useful data import preview options, as shown above. For example auto-selection and interpolation enables similar spectra collected on different wavelengths (instruments) to be matched, and displays the spectral files in your folder with details on wavelength regions, size of spectra, step...

Technical Specication Overview Exploratory Data Analysis Descriptive Statistics Improved Design Wizard Mean/Std Dev/Quartiles/ Cross Interactive design setup with full Correlations/Scatter Effects descriptions and Beginner/ Expert modes Statistical Tests Normality Test/t-Tests/F-Tests/Mardia’s Multivariate Test Cluster Analysis K-Means Hierarchical Cluster Analysis (HCA) with many distance measures and cluster methods Principal Component Analysis (PCA) Complete range of full and fractional factorial designs Enhanced optimization designs including Central Composite (CCD), Inscribed (ICC),...

Additional CAMO Software Products & Services Unscrambler® X Process Pulse Enterprise solutions Real-time process monitoring software that lets you predict, identify Customized solutions which can be integrated into automation and control and correct deviations in a process before they become problems. systems to enhance their analytical capabilities. Available for client-server Analytical Engines Consultancy and Data Analysis Services Software integrated directly into analytical or scientific instruments Do you have a lot of data and information but don’t have resources in for on-line...