Unscrambler® X Process Pulse II introduction video

 

Watch this video introduction to Unscrambler® X Process Pulse II and how it can help streamline your processes.

 

PAT and Process Pulse II in process industries

 

This webinar includes a live demonstration of Process Pulse II, to show you how the software can contribute to improved process understanding & control.

 

PCA Basics

 

This webinar covers the basic concepts in multivariate data analysis, with special emphasis on principle components analysis (PCA).

 

PLS Basics

 

This webinar covers the basic concepts in multivariate data analysis, with special emphasis on partial least squares.

 

What’s New in The Unscrambler X ver. 10.2

 

Check out the new features and improvements in our best Unscrambler ever! The latest version includes new features, enhanced usability and security.

 

An Introduction to Multivariate Data Analysis with The Unscrambler X

 

This webinar will demonstrate The Unscrambler ® for MVA including examples of PCA and PLS regression, with different types of data.

 

New DoE module in The Unscrambler® X

New DoE module in The Unscrambler® X

 

How to Create & Analyze a Design with The Unscrambler X

DoE as an investigational strategy that aims to design the most economical experiments for the purpose of obtaining empirical knowledge, i.e. knowledge gained from the system under investigation and not on theoretical models. It is most usefully applied in the first steps of large problem solving projects or for improving existing process or product performance. Recognised as one of the most effective strategies for investigating complex problems, DoE has experienced higher acceptance recently from initiatives such as Design for Six Sigma (DFSS). When used in conjunction with The Unscrambler®’s multivariate data analysis routines, this improves the power and value of DoE.

 

The Unscrambler® X : The next generation of multivariate data analysis software

Explains about The Unscrambler® X new functionality, ease of use and how to go about getting your data converted .

 

Tips & Tricks in The Unscrambler

This webinar adresses people who are familiar with The Unscrambler and want to get more out of it.
Did you know that you can drag and drop your data from Excel worksheet?
Did you know that you can also drag and drop names of samples and variables in the same way?
Did you know that you can edit the graphs in The Unscrambler or in PowerPoint or Word?

Multivariate Analysis in Process Analytical Technology

Process Analytical Technology (PAT) and Quality by Design (QbD) have been buzz words in the pharmaceutical and biopharmaceutical industries for a number of years now and based on the literature and guidance documents available, these initiatives are gaining real momentum. Fundamental to these initiatives are the basics of Multivariate Analysis and Design of Experiments.

 

Introduction to DoE with The Unscrambler

Design of Experiment is a critical step in your experimentation. This webinar gives an overview of the Design of Experiment management with The Unscrambler.
This webinar can be of interest for all researchers, and can be followed by beginners with The Unscrambler.
During this webinar, you will learn how to :
1) Ensure to have the right information for your project
2) Manage the number of experiments you should make

 

Introduction to Sensory Data Analysis

This presentation aims to present the approach to the analysis of sensory data. First part being presented is the statistics to take into account when using a panel of expert. The analysis is done under Quali-Sense. Second, the use of sensory data is done in Unscrambler.
This webinar is targeted to people with interest to manage a panel of experts and to people wishing to analyze sensory data.

 

Tools for QC in The Unscrambler

This webinar addresses people who work in Quality and Process Control. No process can avoid a good quality control management. In this webinar we will see the tools used in multivariate analysis and how powerful they are.
During this webinar, you will learn to:
1) Model quality (quantitative and qualitative measurements)
2) Detect outlier/inlier samples
3) Cope with uncertainty
To clarify these notions we will take a “real life” example. At the end of the presentation we will see the online solutions available in The Unscrambler environment.

 

Introduction to multivariate analysis

Manufacturers in all industrial sectors continuously face major challenges regarding the improvement of product quality and in the early detection of process deviations. Multivariate Data Analysis (MVA) is well suited for designing quality into processes and provides the essential tools for monitoring Critical to Quality (CTQ) attributes, ensuring acceptable end product quality.

The Unscrambler® is a complete Multivariate Analysis and Experimental Design software solution, equipped with powerful methods including PCA, Multivariate Curve Resolution (MCR), PLS Regression, 3-Way PLS Regression, Clustering (K-Means), SIMCA and PLSDA Classification etc.

 

Introduction to classification methods

This webinar introduces efficient classification methods that are available in The Unscrambler.
Classification of objects is a major concern both for industry (quality control), and academic. In this presentation, we will use two different methods of clasification: one based on similarities (SIMCA) and the other one based on differences (PLS).
This webinar is designed for those interested in MVA and classification methods.

 

Introduction to Spectral data analysis

This webinar shows how to use The Unscrambler® for analysing spectra.
It addresses people dealing with or having preliminary knowledge of spectral data. It uses a case study that can help understanding these methods.

During this webinar, you will see how to:
1) Perform pre-treatments of the spectra
2) Analyse spectral data using first an exploratory data analysis method (PCA) and then a classification method (SIMCA)

 

Introduction to The Unscrambler

The Unscrambler® is a complete Multivariate Analysis and Experimental Design software solution, equipped with powerful methods including PCA, Multivariate Curve Resolution (MCR), PLS Regression, 3-Way PLS Regression, Clustering (K-Means), SIMCA and PLSDA Classification etc.