Data quality

Single source of truth – the time’s come for Industry 4.0!

However, throughout the entire production process, from the purchase of raw materials to the sale of products, countless data are generated that are somehow interrelated. It is therefore not without reason that a central demand in the context of digitisation is the Single Soruce of Truth. This concept of data storage enables all departments to access a central data source which is constantly maintained and therefore only contains consistent and redundancy-free data. This data storage prevents errors due to the use of different data bases, but above all it makes certain evaluations possible. Only in this way can the profit of a company be consistently depicted over the entire value-added chain and across all levels. It is not without reason that it is considered indispensable to lead Industry 4.0 projects to success.

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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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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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