Share Data and Analyses
Perform collaborative analysis by securely sharing data sets with others. Decide
who has access to what, and with which access level. Export analysis results to
a searchable timeline. Tag data and analysis result with comments and keywords.
Download analysis results as text or as presentation-ready images. Visualize &
rate results exported to the gallery.
Visualize Large Data Sets Live Demo
Visualize large amounts of data using tree maps. Rectangular tiles are used to represent
individual records and obtain a global perspective of the data. Users can specify
which fields should be used to color and size each tile. In addition, tiles can
also be organized into groups. Search can be used to perform drill down explorations.
Identify Hidden Associations Live Demo
Automatically identify associations hidden in your data. Associations which are
stronger than expected (assuming independence between variables) are identified
and reported. Each association is fully specified by its strength, the number of
records affected, and its preconditions. Users can easily retrieve the list of matching
records for further analysis.
Visualize Correlations Live Demo
Automatically compute and visualize correlations between numeric fields. Correlations
between each pair of numeric fields is calculated, and rendered as a graph. Filtering,
area selection, and automatic group detection makes it possible to easily identify
groups of highly correlated fields, or fields with little influence on others.
Discover Similarities Live Demo
Automatically visualize similarity between records. Records are projected onto a
two-dimensional map, in a way which attempts to project similar records to closeby
cells. As a result, users can easily find which records are similar to any given
one. The group identification feature allows discovery of broad categories of similar
records, while the cell profile feature makes it possible to view the profile associated
with each cell.
Automatically detect true anomalies, or valid but exceptional cases. Using a powerful
algorithm, records which are the most different from their closest neighbors are
quickly and systematically identified. Users can visualize those records and their
neighbors, for example to address data quality or fraud issues.
Build Powerful Reports Live Demo
Generate pivot reports on steroid using multi-level grouping. Each intersection
between a vertical and horizontal group yields a different chart. This allows users
to perform visual comparisons between groups. Users can easily switch between scatter
plot, bar chart, pie chart, graph line, and heat map visualizations. Search can
also be used to further refine views.
Pinpoint Key Influences Live Demo
Automatically determine which fields most influence others, and under which conditions.
Decision trees show how the distribution of a given target variable changes, depending
on values taken by other fields. For the field having the most impact on the target
variable's distribution, a new split is created, showing how the target distribution
Transform Your Data Live Demo
Easily prepare or transform data by specifying a set of transformation steps. Create,
rename, delete, or convert fields. Filter, sample, or rank rows. Scramble values,
compare values, use complex formulas and dozens of built-in functions. Use rule-based
editing to execute powerful data transformation without having to write a single
line of code or script.
Forecast Time Series Live Demo
Automatically forecast time series. A neural network algorithm is trained using
all available data, allowing it to detect and learn patterns such as seasonal variations,
underlying general trends, or user activity patterns. Monte Carlo error simulations
are used to evaluate the stability of the model, and visualize possible variations.
Categorize Records Live Demo
Automatically discover broad categories of records using a cluster detection algorithm.
The clustering algorithm finds groups of records sharing common traits, and generates
profile information for each group. Users can then visualize these clusters as nodes,
as well as their resemblances or differences. For each cluster, users can also view
a profile of member records, and a profile of records lying outside of the cluster.
Protect Your Data
Users can be granted different access levels to different workspaces and data sets
(ex: grant read, write, or full access). Security is enforced at the server level,
so there is no way to bypass access checks. As a result, security is also enforced
for any applications which uses the XML Web API to perform remote data analysis