Internal Only

May 30, 2024

We are excited to announce we are expanding our partnership with ESRI to now include its ArcGIS Velocity offering. Verizon Connect’s integration with ESRI’s ArcGIS Velocity combines Reveal Vehicle GPS data with other IoT streams, empowering users to conduct near real-time analytics and better leverage spatial data for operational decisions such as remote monitoring of vehicles, predictive maintenance, and process optimization.

• Conduct near real-time analysis of streaming data - Connect to streaming IoT data from multiple feeds and visualize it directly in maps 

• Trigger immediate alerts - Push the results from analytics in near real-time, putting time-sensitive information into the hands of stakeholders when they need it most

• Fully integrated with ArcGIS - Easily connect to and fuse your ArcGIS data with data from other sources. Publish GIS maps to be used by any ArcGIS application such as ArcGIS Pro or Arc GIS Insights for additional analysis

This is a 1-way integration: ESRI  pulls Verizon Connect GPS data into the ArcGIS Velocity platform.

The ArcGIS Velocity integration is perfect for new and existing combined Reveal and ArcGIS customers that are looking to run big data analysis on near real-time data streams.

This integration is available at no additional cost from Verizon Connect. The integration can be added directly from the Reveal Marketplace. 

ESRI will charge customers directly for its services.

The Verizon Connect Reveal Marketplace currently has a dedicated page for ArcGIS, which is ESRI’s primary product. Now, the Reveal Marketplace will also have a dedicated tile for the ESRI ArcGIS Velocity extension. This additional integration lets customers incorporate GPS data into near real-time analytics to provide deeper insights from big-data analysis.

ArcGIS Velocity is a cloud-native add-on capability for ArcGIS Online. It enables users to ingest data from internet of things (IoT) platforms, message brokers, or third-party APIs. It also helps users process, visualize, and analyze near real-time data feeds, store those feeds as big data, and perform fast queries and analysis.

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