Tag "Data quality"

Design thinking – tackling digitalisation with help from your users

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?

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Is my house or plant attractive to criminals? (Part 2)

Especially during the holiday weeks the risk of break-ins increases. Because while we are on holiday, the burglars can get to work in peace and quiet. However – and here lies one of the decisive similarities with Plant Security – with the help of modern security instruments and sensitive, forward-looking behaviour, this danger can be greatly minimised.

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Emotions out, data in – Big Data in sports

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.

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Analyze your data – Step 5: Control

In this last step “control” of the data analysis you can check the economic success of your solution. How, learn here.

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Analyze your data – Step 3: Analyze

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.

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Analyze your data – Step 2: Measure

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.

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Analyze your data – Success in 5 steps

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…

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Big data – a real treasure trove

So what is all this data good for? Are you aware that, in fact, you’re already surrounded by big data in your everyday life? Oh, of course – I did some online shopping yesterday and ended up buying something that wasn’t on my list because the online store made

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