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.

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.