Leverage the Internet of Things (IoT) to examine and showcase live data sourced from sensors, devices, and social media streams. Uncover concealed patterns and trends within your extensive dataset by employing spatiotemporal analytics powered by distributed computing. Enhance your understanding of dynamic situations by harnessing streaming data, whether monitoring mobile assets or fixed sensors. Prioritize critical events through real-time monitoring and extensive data analysis, empowering timely and informed decision-making.
Data Ingestion
Ingest real-time data, including inputs from stationary sensors, things that move, and things that are happening.
Data Insights
Process data using filters to identify event records with key values and start seeing patterns and spatial relationships.
Flexible Storage
Store data in the right location for you, whether that is your own storage, or leveraging out-of-the-box storage from ArcGIS.
Data Visualization
Perform on-the-fly aggregation to identify locations quickly. Control exactly how you want to display your data as it streams in.
Pattern Detection
Select the data you want to share and configure the output to notify stakeholders about detected patterns of interest.
Real-time Actuation
Adjust and change behavior of things by sending commands to sensors when patterns of interest are detected.