Real-Time Visualization and Analytics
Real-Time Visualization and Analytics
Make sense of real-time & big data
Gain insights into real-time and big data through location intelligence
Tap into the Internet of Things (IoT) to analyze and display real-time data from sensors, devices, and social media feeds. Understand and discover the hidden patterns and trends in your massive data by applying spatiotemporal analytics that utilize distributed computing. Gain situational awareness from your streaming data whether you are tracking moving assets or stationary sensors. Focus on every event that matters most to you with real-time monitoring and big data analysis so you can make the right decision, at the right time.
Ingestion
ingest real-time data, including inputs from stationary sensors, things that move, and things that are happening.
Analysis
Process data using filters to identify event records with key value and starts seeing patterns and spatial relationships.
Storage
Store data in the right location for you, whether that is your own storage or leveraging out-of-the-box storage from ArcGIS.
Visualization
Perform on-the-fly aggregation to identify location quickly, Control Exactly how you want to display your data as it stream in.
Dissemination
Select the data you want to share and configure the output to notify stakeholders about detected pattern of interest.
Actuation
Integrate with existing Internet of Things hubs such as Azure IoT Hub.
Gain insights into real-time and big data through location intelligence
Tap into the Internet of Things (IoT) to analyze and display real-time data from sensors, devices, and social media feeds. Understand and discover the hidden patterns and trends in your massive data by applying spatiotemporal analytics that utilize distributed computing. Gain situational awareness from your streaming data whether you are tracking moving assets or stationary sensors. Focus on every event that matters most to you with real-time monitoring and big data analysis so you can make the right decision, at the right time.
Ingestion
ingest real-time data, including inputs from stationary sensors, things that move, and things that are happening.
Analysis
Process data using filters to identify event records with key value and starts seeing patterns and spatial relationships.
Storage
Store data in the right location for you, whether that is your own storage or leveraging out-of-the-box storage from ArcGIS.
Visualization
Perform on-the-fly aggregation to identify location quickly, Control Exactly how you want to display your data as it stream in.
Dissemination
Select the data you want to share and configure the output to notify stakeholders about detected pattern of interest.
Actuation
Integrate with existing Internet of Things hubs such as Azure IoT Hub.