How does it work?
Explore your data in depth
AutoDiscovery effortlessly uncovers hidden insights in complex data, enabling you to make new discoveries in no time. In just 3 steps...
Consolidate
Most exploratory projects are designed to examine a problem from a variety of approaches and identify novel relationships among them.
This requires collecting, storing, and integrating information from different project teams, data sources, and software packages.
AutoDiscovery saves you a lot of time every day by performing an automatic consolidation process that merges the rows and columns of imported data files into a single data table.
Discover
The discovery process consists of evaluating the relationships between each pair of variables and special combinations of them.
Depending on the nature of the data for each variable, a particular flexible statistical test is computed to assess up to what point these variables may be associated. This process is also performed on specific subsets of your data, called "segments".
Exclusivity post-analysis determines the relevance and also the statistical significance of the relationships evaluated, i.e., their likelihood of becoming a confirmed novel finding or an exploratory finding to be tested in a further confirmatory phase of the project.
Explore
The Discovery Map and Hypo Booster tools make it easy to browse the list of relationships discovered between your data files and variables.
A comprehensive table of relationships is provided, ordered by their relevance.
The graph shows the specific samples of your data used to evaluate a relationship, providing traceability of results.
Graphs, plots and tables can be easily exported for sharing!
Ready to unveil AutoDiscovery? Schedule a free demo
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