ArcGIS Velocity is useful for many workflows dealing with observations coming in from sources of real-time and big data, including IoT devices and sensors. It provides easy ways to bring in and immediately visualize real-time information, as well as store observations over time. ArcGIS Velocity also enables you to build analytical processes to automate workflows and answer questions. Overall, ArcGIS Velocity provides many of the same capabilities and solves many of the same use cases as ArcGIS GeoEvent Serverand ArcGIS GeoAnalytics Server, but provides these capabilities as-a-service through ArcGIS Online.
ArcGIS Velocity is a good solution for a range of needs:
Connecting to IoT systems to visualize sensor observations
Geofencing areas of interest to detect spatial proximity of events
Increasing speed of current data processing
Enriching and filtering observations to focus on most interesting event data
Enabling data management as-a-service when data has grown to high volumes over time
Identifying important incidents in noisy data
Using spatial statistical analysis and machine learning tools for large datasets
ArcGIS Velocity can be used by GIS analysts, operations officers, data scientists, and more. Specific examples of analysis include:
A city GIS analyst can ingest GPS data on all city vehicles like public works vehicles and snow plows to see where vehicles have travelled, areas with less coverage, and instances where vehicles exceeded the speed limit.
An electric utility operations officer can receive regular readings from smart meters, including indications of power outages, and automatically notify the closest field crew in the area.
An environmental scientist can identify times and locations of high-ozone levels across the country in a dataset of millions of static sensor reads.
A supply chain analyst at an oil and gas company can connect to an Automatic Identification System (AIS) data stream to monitor vessels, calculate expected arrival information, and understand when vessels enter areas of interest.