Location data is crucial in the IoT landscape

With place-based information playing an increasingly critical role in the Internet of Things (IoT), the right technology is essential to help you convert raw data into actionable insights. Location intelligence enables your organization to put sensor data in context, discover broader trends and issues, and identify potential threats.

ArcGIS Velocity is a cloud-native add-on capability, which allows you to process, visualize, and analyze real-time data feeds, providing the tools you need to apply your real-time spatial information to essential operational decisions.

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The benefits of real-time location intelligence in the IoT

  • Perform fast analytics on billions of data points

    By combining multiple feeds and visualizing this data into a map or chart in real time, you can see how things overlap and connect. Gaining a common operating picture helps you track assets, make observations, and monitor live events to improve real-time awareness.

  • Visualize and explore observations to address threats

    When you fuse IoT data with real-time location analytics, you can answer spatial questions using analytical methods, filter data, issue alerts, and focus on data-based decision-making. IoT data can identify where disruptions are likely to occur so you can act in advance.

  • Provide context for the IoT

    Integrating temporal and spatial data creates awareness of when and where assets are. The subsequent spatial analysis can provide unique insights, revealing previously hidden patterns and relationships that drive stronger decision-making or trend predictions for organizations. 

  • Gain real-time visibility into day-to-day operations

    Local governments, federal agencies, transportation administrations, utilities, retailers, and many others can take advantage of the IoT to gain real-time visibility into daily processes, supporting data-driven decision-making at both the right time and the right place.

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Real-time analytics with ArcGIS Velocity

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Integrate real-time data

Ingest data from connected devices by configuring a feed that can be used as a live map layer. Integrate real-time data with historical data via stream and feature layers to analyze change over time. The highly scalable Kubernetes-based architecture of ArcGIS Velocity enables the processing of massive volumes of spatial data at very high speeds.

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Monitor critical assets

Get precise locations and insights on all of your assets for 24/7 visibility. Track dynamic assets that are constantly changing location, such as vehicles, aircraft, and vessels, and stationary assets, such as weather and environmental monitoring sensors.

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Unlock spatial insights

Make more informed decisions with IoT spatial intelligence analysis. Access a range of powerful real-time and big data tools to analyze information from a variety of data feeds and sources. Leverage a visual analytic model builder that enables you to design complex analysis and automate workflows, saving time and effort.

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Trigger alerts

Results from analytics, whether performed in real time or batch mode, can be pushed as alerts, which puts time-sensitive information in the hands of personnel. Display and share your findings with others in your organization with the help of operational dashboards. Gain operational, tactical, and strategic efficiencies that can save time and money.

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Work in the cloud

Get started quickly with no configuration with a software as a service (SaaS) model. Take advantage of distributed computing. Get real-time and big data capabilities as a service and perform analytics at a massive scale.

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How it works

With ArcGIS Velocity, users can configure feeds and ingest streaming data to immediately visualize real-time information in web maps and dashboards.

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