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Transform data into actionable intelligence

A recent study by Accenture and GE found that predictive maintenance can generate a 30 per cent reduction in maintenance costs and as much as a 70 per cent cut in production downtime due to equipment breakdowns.

DINGO’s award-winning predictive maintenance software, Trakka, captures a broad range of asset health data from each of your machines and then uses a proprietary analytics platform to assess equipment condition.

If problems are found, Trakka, which seamlessly integrates with your existing maintenance systems and workflow process, alerts the team and recommends corrective actions. Issues are closely monitored by Dingo’s maintenance experts until problems are rectified and equipment returns to its normal operating state.

In this eBook, you will learn how to:

  • Maximise the asset health data you already have
  • Bring all your data into one system
  • Transform your data into actionable intelligence
  • Implement the right process
  • Empower your employees

By continuously improving the health and performance of your equipment, Dingo’s solutions increase availability, extend component life and reduce operating costs.

Download the eBook below.

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