CAMO was established in 1984, and they are pioneers and leaders in the field of multivariate data analysis. CAMO software and solutions are used by our clients to: • Develop better products, faster and more cost effectively • Monitor and improve product and service quality • Optimize customer segmentation and identify unmet gaps in the market • Reduce energy use and other operating costs • Monitor processes with early-warning of faults or deviations • Make better predictions and forecasts based on historic data Our clients span a broad cross-section of industry sectors, including life sciences, manufacturing, agriculture, oil and gas, mining, high technology and more. Today, as more and more businesses look to get a competitive advantage from their data, multivariate analysis technology is being used by an even more diverse range of industries including advertising, banking and finance, insurance, retail, telecommunications, transport and logistics.
CAMO product and service range includes: • Leading multivariate analysis and design of experiments software • Powerful and flexible process monitoring solutions • Analytical engines for integration with third-party scientific instruments • Enterprise solutions and custom development • Consulting and data analysis services • Training courses
Smit Consult can deliver these products and services. They are experienced with the Multivariate Data Analyses and services.
Multivariate Data Analysis refers to any statistical technique used to analyze data that arises from more than one variable. This essentially models reality where each situation, product, or decision involves more than a single variable. The information age has resulted in masses of data in every field. Despite the quantum of data available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge. When available information is stored in database tables containing rows and columns, Multivariate Analysis can be used to process the information in a meaningful fashion.
Brochure :white-paper MVA (.pdf)
Multivariate analysis methods typically used for:
With Multivariate Analysis you can:
MVA for Spectral data Obtain a summary or an overview of a table. This analysis is often called Principal Components Analysis or Factor Analysis. In the overview, it is possible to identify the dominant patterns in the data, such as groups, outliers, trends, and so on. The patterns are displayed as two plots Analyze groups in the table, how these groups differ, and to which group individual table rows belong. This type of analysis is called Classification and Discriminant Analysis Find relationships between columns in data tables, for instance relationships between process operation conditions and product quality. The objective is to use one set of variables (columns) to predict another, for the purpose of optimization, and to find out which columns are important in the relationship. The corresponding analysis is called Multiple Regression Analysis or Partial Least Squares (PLS), depending on the size of the data table.
Tools for Multivariate Analysis Among the various, multivariate tools available, The Unscrambler® stands out as an all-in-one multivariate data analysis software product. This product and related ones from CAMO are proven tools that have enabled different organizations solve their Multivariate Analysis requirements.
Smit Consult offers CAMO products and services includes:
• Leading multivariate analysis and design of experiments software
• Powerful and flexible process monitoring solutions
• Analytical engines for integration with third-party scientific instruments
• Enterprise solutions and custom development
• Consulting and data analysis services • Training courses
The Unscrambler® X lets you analyze large and complex data sets quickly, easily and accurately using the power of multivariate analysis (MVA). It has set the standard in MVA software for over 25 years, and is the preferred tool for thousands of people around the world who rely on precise, timely and insightful analysis of their data.
Designed with the needs of end-users in mind, The Unscrambler® X is recognized for its easy importing options, unrivalled ease of use, outstanding visualizations and state-of-the-art analytical methods. (The Unscrambler brochure. pdf)
Features of The Unscrambler® X
(5th Edition) Author : Kim H. Esbensen ISBN : 82-993330-3-2 Includes sample datasets & a comprehensive multivariate analysis software tool (Training version).
We have more than 20 years of experience in Multivariate Data Analysis and are more than pleased to assist you with implementing the CAMO products within your organization
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