Predictive maintenance prevents avoidable shutdowns
Solution

Greater cost savings through predictive maintenance

A solution for companies of all sizes – standardized, secure and end-to-end

  • Real-time condition monitoring and predictive maintenance
  • Innovative IoT platform in German data centers
  • Smart data analytics for better business decisions

Predictive maintenance prevents avoidable shutdowns

When elevators, escalators and construction equipment stand still due to defects, which they do for millions of hours worldwide every year, it's not just an annoyance – it's also expensive. In addition to the resulting loss of business, repair costs can be significant. Predictive maintenance can help. Modern sensor technology, digital connectivity and smart data analytics enable predictive maintenance of all kinds of machinery and devices. According to a study by the World Economic Forum and consulting firm Accenture, it can reduce unplanned downtimes by around 70 percent and cut maintenance costs by nearly 30 percent.
IoT Vendor Benchmark 2017
Competitive strength and portfolio attractiveness of IoT starter kits
A recent survey conducted by PAC on behalf of Deutsche Telekom in September 2016 shows that merely 5 percent of the enterprises surveyed leverage the full potential of IoT. Furthermore, it illustrates that more than half expect cost savings and almost three quarters efficiency gains through the use of IoT solutions in their industry. Hereby 65 percent use external IT providers, especially those with end-to-end competencies and preferably in combination with a plug-and-play solution. This is also confirmed by the latest Experton Vendor Benchmark 2017 for IoT and Industry 4.0. which – for the first time ever – includes a separate category to assess plug-and-play end-to-end IoT solutions. As one of only two providers Deutsche Telekom is listed in the “Leader” quadrant and positively characterized in the trend chart.

All-in-one solution from a single source

T-Systems offers several Predictive Maintenance solutions for companies of all sizes. From a simple Predictive Maintenance platform, where you can integrate your own or existing sensors, to a standardized end-to-end solution with appropriate hardware. Both variants benefit from Deutsche Telekom's innovative IoT infrastructure solution, in accordance with German data protection standards and an additional software which includes a dashboards that shows analyses in almost real time.
Predictive Maintenance
Deutsche Telekom provides all components for end-to-end IoT solutions – a 360° service from hardware and connectivity over operations in highly secure data centers to system integration and consulting.
The complete Predictive Maintenance solution also includes a hardware, the IoT gateway with coupled sensors, the corresponding connectivity via mobile phone up to 5G and an additional software - all from one source. Thus, the state of the machines can be continuously monitored (Condition Monitoring) and necessary maintenance can be planned predictively (Predictive Maintenance) – and you benefit from an intelligent data analysis for better business decisions.
Predictive Maintenance in Manufacturing (Frenus, 2017)
Study: Licensed full Version.
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Use Cases

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Video

Digital transformation is one of the strategic business areas of Deutsche Telekom. In 2015 the Group therefore formed the unit Digital Division in the subsidiary T-Systems – the first of its kind in a European telecom company.

Push The Button

Who really thinks about the button? It’s just there. And yet: if you push it, it will trigger something – increasingly even very complex actions. Especially in the age of digitization. The latest video from Deutsche Telekom uses the simple scenario of pushing a button to explain what the Digital Division, a unit of T-Systems, the corporate customers unit of Deutsche Telekom, can do for its customers.
 

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