Advanced Analytics in Quality Management

Advanced Analytics in Quality Management

20.02.2018

Digitalization of the field analysis

Increasing data volumes and technical innovations are opening up new potential - especially also in the field of quality management. In this connection, in the automotive and manufacturing industry, product observation in the field is a central theme. Thanks to the use of modern machine learning methods and analytics technologies, today manual processes can in most cases be at least partially automated, and thus made significantly more efficient.
 
Beyond the more rapid comparison of new customer complaints with known fault patterns, by means of advanced analytics faster identification of new main areas of damage becomes possible, their future development can be anticipated, and thus the level of criticality can be more accurately estimated, which significantly increases product quality and customer satisfaction.

In this MHPpitstop "Advanced Analytics in Quality Management" we will highlight specific applications and provide an insight into methodical and technological solutions that we have already successfully implemented for our customers.

This MHPpitstop will be concerned with the following themes, among others:

  • Added value: What advanced analytics can contribute to quality management
  • Field analysis: The central applications for advanced analytics
  • Projects by MHP: What a successful advanced analytics solution looks like
  • MHP services: How MHP can support you with advanced analytics projects and our references

Speaker:
Dr. Horst-Florian Jaeck
Associated Partner | Customer Experience Management

 

Connect now:

 

Speaker:
Dr. David Schmid
Senior Consultant | Customer Experience Management

 

 

> After you have registered, you will receive the login data with a brief description for the free WebSession by e-mail.

We look forward to welcoming you as a participant.

Event information

20.02.2018
Start: 11:00 (CET)
End: 11:30 (CET)

Language: German

Event form

Webinar