ADVANCED ANALYTICS
Advanced analytic techniques include
Location, Data/text mining, Machine learning, Pattern matching, Forecasting, Visualization, Network and Cluster Analysis, Multivariate Statistics, Graph Analysis and Simulation
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Location Intelligence.
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.
Location Analytics.
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.
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Predictive Analytics.
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.
PROFESSIONAL SERVICES
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CONTACT
Juan de Toledo, 10
28200 San Lorenzo del Escorial. Madrid
PHONE
+34 636 88 44 14