Felt 3.0: The GIS Revolution Your Business Didn't Know It Needed

Cloud-native Geographic Information Systems (GIS) platform provider Felt has launched its version three product, which combines apps and database integrations into a new enterprise-wide collaborative mapping tool.

Designed to make data more accessible and actionable for stakeholders across an organization, Felt 3.0 enables teams with modern GIS tooling to visualize, analyze, present insights and map data that is most relevant to them.  

In its previous versions, Felt has combined browser-based collaboration tools with professional mapping workflows, aiming to make it easier for professionals to extract and share meaningful insights.

Now, Felt 3.0 expands on that mission by enabling teams to connect their database directly to Felt and build interactive components and dashboards that are specific to their team’s workflow and can be used by staff across the organization.

Use cases include understanding sales coverage over a geographic area or which areas might have the highest wildfire risk.

Felt case studies include logistics company Sharetown, which isolates geospatial and sales data in Felt to monitor field rep performance and identify coverage gaps across territories.

The County of Santa Barbara’s Public Works department lays routes in Felt to map road closures and communicate them to first responders and the general public.

With Felt 3.0, teams can build customized dashboards with five types of components to visualize and measure map data.

These features eliminate the need for business intelligence tools not built to filter or visualize geospatial data and difficult, desktop-based GIS tools lacking collaboration.

Enabling teams to work with geospatial data connected to a source of truth and up-to-date is the foundation for expanding GIS use cases to the broader organization.

With Felt 3.0, companies can directly connect Postgres/PostGIS and Snowflake databases to Felt and keep the data fresh with automated live data updates.

Support for other third-party data sources, including Databricks, Amazon’s S3 and Redshift, Google’s BigQuery, and SpatioTemporal Asset Catalogs (STAC), will be available soon. 

Image credit: iStockphoto/Dragon Claws