Internet of Things Analytics

Arcadia Data provides visual analytics on modern data platforms to gain insights from massive volumes of IoT data.

The Internet of Things (IoT) is here.

Almost all electronic devices today are loaded with sensors that send billions and trillions of pieces of data about what we are doing, where we are, and how mechanical components are performing 24x7x365.

By 2020, Gartner predicts that more than half of major new business processes and systems will incorporate some element of the IoT. Analytics are essential to the success of IoT solutions, and a new generation of technologies provide the foundation for analytics on large and rapidly growing data sets.

Arcadia Data provides visual analytics native to modern data platforms to help you rapidly build analyses and applications that are secure, performant, and scalable so you can gain continuous insights from IoT data.

“We ingest 10TB in 5M raw files of semi-structured and unstructured data from systems out in the field every week. Arcadia Enterprise helps us ingest, analyze, and visualize this raw information to provide easily-consumed visual data applications for our technical support, customer service, product engineering, and sales & marketing teams. This information is invaluable in understanding how customers use our systems. With Arcadia, we have instant insight into detailed granular information on product usage trends, failure reports, component failure patterns, and an understanding of potential customer opportunities.”
-Enterprise Storage Manufacturer

Systems Optimization

By analyzing the collected data from technology systems deployed at customer sites, you can gain important insights pertaining to:

  • Predictive maintenance to help you identify potential failures before they occur, to help your customers avoid disasters.
  • Product enhancements by understanding what components underperform.
  • Environmental problems so customers can be notified of issues such as insufficient cooling.
  • Upsell/cross-sell opportunities by understanding usage behaviors that suggest additional needs.

Telematics in Connected Cars

  • Collect and analyze data from vehicles, in-road sensors and other sources in a single platform.
  • Visually analyze real-time streaming telematics data alongside historical data for deeper pattern analysis.
  • Understand traffic patterns, offer more targeted insurance packages and provide specific service recommendations.
  • Remotely diagnose fleet issues.

Predictive Maintenance

  • Ingest real-time and batch data from all sensors and components.
  • Visually analyze historical patterns within massive data sets to predict which components and pieces of equipment are likely to fail.
  • Avoid costly downtime by repairing parts proactively.

IoT Analytics in Oil and Gas

  • Predict drilling mechanics failures to minimize non-productive time (NPT).
  • Monitor directional drilling to ensure precise angles for better reach to oil wells.
  • Gain a complete view of all wells and zoom into details to get more directional recommendations to improve outputs.

System Log Analysis

  • Collect, store and analyze all logs in a single platform.
  • Efficiently diagnose and solve system issues remotely.
  • Analyze how various features, components and configurations affect system performance.

Manufacturing Quality Assurance

  • Move from batch-level visibility to micro-unit-level visibility throughout the product lifecycle.
  • Analyze remote sensor data to monitor appliance components to understand and improve performance.
  • Improve product design by collecting all sensor data from all equipment in the field in real-time rather than relying on batches and samples.

Systems Optimization

By analyzing the collected data from technology systems deployed at customer sites, you can gain important insights pertaining to:

  • Predictive maintenance to help you identify potential failures before they occur, to help your customers avoid disasters.
  • Product enhancements by understanding what components underperform.
  • Environmental problems so customers can be notified of issues such as insufficient cooling.
  • Upsell/cross-sell opportunities by understanding usage behaviors that suggest additional needs.

Telematics in Connected Cars

  • Collect and analyze data from vehicles, in-road sensors and other sources in a single platform.
  • Visually analyze real-time streaming telematics data alongside historical data for deeper pattern analysis.
  • Understand traffic patterns, offer more targeted insurance packages and provide specific service recommendations.
  • Remotely diagnose fleet issues.

Predictive Maintenance

  • Ingest real-time and batch data from all sensors and components.
  • Visually analyze historical patterns within massive data sets to predict which components and pieces of equipment are likely to fail.
  • Avoid costly downtime by repairing parts proactively.

IoT Analytics in Oil and Gas

  • Predict drilling mechanics failures to minimize non-productive time (NPT).
  • Monitor directional drilling to ensure precise angles for better reach to oil wells.
  • Gain a complete view of all wells and zoom into details to get more directional recommendations to improve outputs.

System Log Analysis

  • Collect, store and analyze all logs in a single platform.
  • Efficiently diagnose and solve system issues remotely.
  • Analyze how various features, components and configurations affect system performance.

Manufacturing Quality Assurance

  • Move from batch-level visibility to micro-unit-level visibility throughout the product lifecycle.
  • Analyze remote sensor data to monitor appliance components to understand and improve performance.
  • Improve product design by collecting all sensor data from all equipment in the field in real-time rather than relying on batches and samples.

Data Center and System Monitoring

In this case study, we’ll show you how one data infrastructure company was able to analyze sensor data in field systems to work to gain insights for planning product roadmaps, improving customer satisfaction and achieving revenue objectives.

Connected Vehicle Demo

See how Arcadia Data can analyze IoT-scale data from connected vehicles. Integrate real-time streaming and historical analysis in one visual analytics platform. Get the most from Apache Spark, Hadoop, Kudu, Solr, and more.