DataModeler Key Features
Evolved Analytics DataModeler provides a complete and integrated workflow for industrial-strength data-driven modeling that guides the user through the path from data to actions.
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Welcome to Evolved Analytics!
The mission of Evolved Analytics is to incorporate real world into nonlinear modeling. Our technology complements classical multi-variate data analysis and feature selection, statistical learning theory and statistical inference, design of experiments and classical non-linear regression.
We solve real-world problems targeted at data-driven understanding of complex, unknown, nonlinear systems involving tens to thousands of input dimensions. Our solutions focus on the development, maintenance and deployment of transparent, robust, and interpretable input-response models, design- space exploration and exploitation, and model-based outlier detection. We discover the most elusive relationships in input-response data.
Dealing with Data Deluge
... Lots of variables. Little time. Lots of pressure... -- What variables really matter? What does it mean? Are there outliers? What to do with correlated inputs? How much do I know about my problem? What exactly don't I know about the problem? How to change it? Can I trust my conclusions? —These questions are raised in almost any data-driven industrial project.
Solving industrial projects by making sense of the data and turning data into value is our speciality.
Our technology will be interesting for
- everyone who ever stared at a data spreadsheet;
- everyone seeking an efficient, robust, and effective empirical modeling workflow;
- everyone searching for a reliable variable selection methodology to reduce the dimensionality of the design space when correlated variables are present;
- everyone hunting for outliers in the data, because they may be precious nuggets of information...