All articles of Silke Müller
As we all know, transformation processes will be necessary to keep up with digitalisation. They will affect our workplaces as well as our ways of working. IIoT and Industry 4.0 offer a great deal of creative scope, and we are far from grasping all the opportunities and possibilities inherent to them. Many fairly unclear aspects interact with each other in this field. Why not use the potentials of design thinking?
Design thinking – tackling digitalisation with help from your users Read More »
Big Data has long since arrived in the football world and it is impossible to imagine it without it. Space analyses, pass strength, how many opponents were killed with passes or dribblings – information that says much more than just possession of the ball and pass odds.
Emotions out, data in – Big Data in sports Read More »
Analyze the big data puzzle: different sources, different formats! Yet whatever state your input is in, you need to end up with a database where each parameter is contained in a separate column and each row is clearly assigned with a timestamp, batch number and / or item number. Even more! Learn what.
Analyze your data – Step 3: Analyze Read More »
The “Measure” step, in which you collect the data is highly relevant for the success: your data must be of a sufficiently high quality and you must have recorded all important parameters. Learn more.
Analyze your data – Step 2: Measure Read More »
Data analysis – yes or no? If your production costs fluctuate heavily, if you’re unable to achieve the required product quality or stability, or if your products require multiple treatments, then it’s worth taking a closer look. Analyze your data!
Analyze your data – Step 1: Define Read More »
Anyone who’s ever carried out a data analysis needs no telling that the time and effort can often be considerable. Maybe not always, but certainly in a lot of cases, the benefits are well worth all the hard work. And if you take the time upfront to think about the quality of your data – and the most efficient way to collect it – you can save yourself quite a few problems later. Learn more…
Analyze your data – Success in 5 steps Read More »
