{"id":17350,"date":"2025-01-31T07:21:07","date_gmt":"2025-01-31T07:21:07","guid":{"rendered":"https:\/\/ats-automation-develop.go-vip.net\/pas\/?p=17350"},"modified":"2025-04-23T01:52:32","modified_gmt":"2025-04-23T01:52:32","slug":"service-and-rd-excellence","status":"publish","type":"post","link":"https:\/\/ats-automation-develop.go-vip.net\/pas\/service-and-rd-excellence\/","title":{"rendered":"Service and R&D EXCELLENCE"},"content":{"rendered":"
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\n Service and R&D Excellence <\/h1>\n

\n Improving the efficiency and turnaround time of your service team <\/h2>\n
\n January 31, 2025 <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n Learn more<\/span>\n \"\"\n\n <\/div>\n<\/div>\n\n\n\n
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\n Specialties <\/h2>\n
\n Below, you\u2019ll find some use cases where Orise can help you create value.
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Reduce Response time<\/strong><\/h3>\n

Anomaly detection and root cause analysis on your data can be used to enhance data exploration and enables you to reduce the response time of your service team dramatically. When issues occur, the anomalies can be highlighted and filtered on-the-fly, so the root cause of the problem is easily detectable.<\/p>\n

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The quick identification of the root cause, allows you to fix the real problem rather than treat the symptoms.\u00a0 This reduces the response time of your the service team and so increases your customer satisfaction.<\/p>\n

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Design and engineer better products<\/strong><\/h3>\n

With a better view on real use cases and patterns, \u00a0you can design your machine to be easier to use. Move a hard to reach but much used configuration screen to a faster accessible place for exampl\u200be.<\/p>\n

Engineering requirements can also be more precise and thus lower the costs of materials and improve reliability. For example: avoid over-engineered but rarely used parts, or use better quality parts for high usage \/ failure ones.<\/p>\n

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\u200bFinally, for the testing phase, you\u2019ll be able to check the most common failure points test conditions that mimic the real usage of your machines, devices or systems closely.<\/p>\n

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Improve efficiency\u200b<\/strong><\/h3>\n

Thanks to machine and data analytics, Orise helps you analyse the data streams coming from your machines, systems and devices and provide you with valuable insight, that helps you improve the efficiency of your service department.<\/p>\n

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Unlike reducing your response time of your service team, improving your efficiency will not lead to a increase in customer loyalty, but will have a vital impact on your internal cost-structure<\/p>\n

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Reference projects<\/h2>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n
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\n RefleXion Project
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The reflexion (React to Effects Fast by Learning, Evaluation, and eXtracted InformatiON) project, supports the high-tech industry paradigm shift from selling \u201cboxes\u201d to supporting \u201cintegrated solutions\u201d by providing significant improvements in quality and stability during early product roll-out.<\/p>\n

Orise\u2019s involvement in the project concerns all aspects of anomaly detection by machine learning applied to log based and time series data analytics. Other companies involved in the reflection project are: Phillips, Barco, Siemens, Oc\u00e9, Axini, TNO and Synerscope.<\/p>\n <\/div>\n <\/div>\n

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\n Ready to unlock the full potential of your data?
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\r\nLet\u2019s improve your service efficiency and accelerate your development together.
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