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DeviceLynk Delivers Customized IIoT Solution

ThingWorx (PTC)
DeviceLynk Delivers Customized IIoT Solution
  • DeviceLynk Delivers Customized IIoT Solution
  • DeviceLynk Delivers Customized IIoT Solution
  • DeviceLynk Delivers Customized IIoT Solution
  • DeviceLynk Delivers Customized IIoT Solution
Information Technology
Product Development
Continuous Emission Monitoring Systems (CEMS)
Track and Trace for Industrial Tools
Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.
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DeviceLynk utilizes Industrial IoT technology to create informative dashboards that are cloud based and capable of collecting and visualizing data from any connected device.
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By partnering with and utilizing the ThingWorx platform, DeviceLynk transformed their overall business strategy and developed a solution that has had a considerable impact on their business and customer ecosystem.

To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx
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Data for processing, production, facilities health
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Cutting Edge (technology has been on the market for <2 years)
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Universal Platform - Since implementing a solution based on the ThingWorx IoT Platform, DeviceLynk has seen an immediate increase in their sales.
Data Aggregation - Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Data Analytics - Data mining, prognostics, diagnostics, and embedded intelligence are used to make DeviceLynk's solution smarter so that they can meet their customer's needs.
DeviceLynk went from scaling a maximum of 100 total assets across their customer base to scaling up to 21 sites with hundreds of assets at each location.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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