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CARTO

Name: CARTO
Rating: 4.5 (2 reviews)

By CARTO

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Highlights : About CARTO

Spatial analysis

Predictive analysis

Map creation and sharing

Geocoding

Census data integration

About CARTO

CARTO is an open source platform that offers powerful location intelligence and analysis capabilities. The self-service platform for businesses analysts, data scientists as well as the individual users allows performing visualization and spatial analysis. It helps users escape the GIS handcuffs through its intuitive drag-and-drop interface, which helps business analysts optimize their operations and deploy location apps in less time. It puts the power of location data in the hands of its users and saves them from the complication of using and maintaining complicated and legacy GIS solutions. The cloud-based platform is also open source and provides visual insights into what’s happening where. It helps predict the future and helps accelerate innovation through the self-service model.

Specifications

Business Size

Small

Customization

Yes

Deployments

Premise, Cloud

Language Support

English

Platforms

Product Details

Features

Spatial analysis

Predictive analysis

Map creation and sharing

Geocoding

Census data integration

Drag-and-drop builder

Real-time data and analytics

Business intelligence

Data mapping

Self-service portal

Data Observatory

Interoperability

Internet mapping

Trend analysis and tracking

Visual representation and analysis

Benefits

Create drag and drop analyses, visualize complex data, and deploy location applications that optimize business operations - no GIS expertise is required.

Augment data, broaden data analysis, and identify patterns and trends with CARTO'S demographic, economic and real estate datasets, from its own Data Observatory.

Reduce time-to-insight on data, with CARTO's unified workflows and widget-driven dashboards.

Pinpoint key insights with CARTO's Auto-Styling which analyzes mapped data, identifies trends and relationships, and automatically highlights these by applying the best visual layers.

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