This is the core idea of my work here at NETZSCH. Every day I work on solutions for our customers that increase their efficiency in their daily recurring work e.g. in the field of quality control on insulating materials. Digitization (or digitalization) is the key to improve productivity and efficiency. All changes that our society has to cope with in the context of digitization are summarized under the term “digital transformation”.
I’ve read a very open minded article from Leila Modarres, CMO at Infostretch. Infostretch helps enterprises get digital right, the first time.
What seems a little strange: Leila writes about quality assurance in the development environment of software. This makes it all the more interesting that all this can be applied to the analyzing and testing of materials in the same way.
This is, what Leila Modarres wrote about digital transformation in Test & QA – give us your opinion about this topic in our survey below!
Data that my customers gain for example in the field of QA of insulating materials are:
Thermal resistance (R-Value)
Weight and Dimensions
Water absorption behavior
Behavior in case of fire
and many more
The most important value for CE-Declaration in Europe, for example, is the so-called “Lambda 90/90” Value. This is a statistical thermal conductivity value determined from hundreds of single measurement. An often used tool is Excel to perform multiple calculations and statistics – as well as for further documentation.
But is using Excel or other isolated applications “state of the art” in our generation? We would like to know your opinion in our poll below!
I think, that this is no longer state of the art. I think that big global acting companies should have a high interest in a global QA-Strategy. Data from different plants all over the world will be collected into one central database. Information about the equipment used in QA is managed in one central spot which gives the QA-Managers an overall overview on:
next date of maintenance
last customer service visit
globally available equipment for outsourcing
comparability of results
and all the measurement data
for comparability of equipment
comparability of raw-materials
comparability of production plants
Ones who create standardized protocols for cloud-solutions and use this gate into high-class ERP-Systems will be the winners of the future. Turning data into knowledge will be the key to our efficient future.
Leave us your comments – what else can you imagine in terms of data intelligence?