Endian > Case Studies > Big Data and Predictive Maintenance

Big Data and Predictive Maintenance

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 Big Data and Predictive Maintenance - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Automation & Control - Programmable Logic Controllers (PLC)
  • Cybersecurity & Privacy - Endpoint Security
  • Cybersecurity & Privacy - Identity & Authentication Management
  • Cybersecurity & Privacy - Intrusion Detection
  • Cybersecurity & Privacy - Network Security
  • Infrastructure as a Service (IaaS) - Cloud Computing
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
  • Networks & Connectivity - Gateways
Applicable Functions
  • Maintenance
Use Cases
  • Predictive Maintenance
The Customer
About The Customer
Founded in 1984 the Roth Group develops individual automation solutions for its customers from various industries. With its companies Roth Steuerungstechnik GmbH, Roth & Schoder GmbH and Roth Sondermaschinen GmbH the corporate group covers the entire auto
The Challenge

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. 

The Solution

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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