Advanced analytic techniques include
Location, Data/text mining, Machine learning, Pattern matching, Forecasting, Visualization, Network and Cluster Analysis, Multivariate Statistics, Graph Analysis and Simulation
Maps provide more comprehensive connections between data and location to help you understand data at finer detail.
- Generate insights and make predictions that would not be possible using traditional tables and charts.
- Smart, interactive and customizable maps.
- GIS standards: work with all map projections and natively supports shapefiles.
- Support for Web Map Service (WMS), use base maps from a large variety of free or paid third-party providers.
Provide pre-coded, scientifically sophisticated geographic analysis to business users through a simple button or workflow.
- Break down information silos by using location as the common key for integration.
- Collaborative sharing and groups-based security, allowing to make data widely available while controlling access to sensitive data and analysis.
Data science: users can point-and-click to get instant linked views, one-click predictions, and proactive data profiles.
- Provide point-and-click authoring for users of all levels, and offers more advanced users the ability to run open source statistical language (R) models inside any analysis.
- Leverage existing platforms connecting to existing data functions written in R, SAS, MATLAB.
- Use your data to predict, create a plan, and act on it.
Juan de Toledo, 10
28200 San Lorenzo del Escorial. Madrid
+34 636 88 44 14