Accelerating the Industrial Internet of Things
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Endian Case Studies Big Data and Predictive Maintenance
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Big Data and Predictive Maintenance

Endian
Big Data and Predictive Maintenance
Automotive
Maintenance

Predictive maintenance refers to techniques that help determine the condition of in-service equipment in order to predict and/or optimize when maintenance should be performed. Predictive maintenance is one of the most important benefits of the Industry 4.0 revolution. 

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By consolidating the machine data from many different locations in a central place, the optimization of machines and production processes is possible. Thanks to a remote maintenance solution from the Roth Group including components from Endian and the cloud solutions from Amazon Web Services, customers in any industry can benefit today from the advantages of digitization. 

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IOT
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Mature (technology has been on the market for > 5 years)
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Hardware
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Software
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.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
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.
IoT hardware consultancies provide services such as solution specification, product design, connectivity setup, and partner identification.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Connectivity as a service as provided by telecommunications companies, i.e. data transfer, radio waves.
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