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Connectivity and automation are the two keywords of the Industrie 4.0 movement. The next step towards automated and monitored processes are machines that solve problems themselves. This is known as machine learning, which is a branch of data analytics.

Automated processes are a massive help in logistics. Data analytics offers ways to optimize these processes through continuous gathering and evaluation of data.

In the area of mobility and safety, error-free systems are essential since these can make the difference between life and death. The more data that is gathered and evaluated, the more accurate the predictions. For instance, data analytics can help detect incorrect measurements and differentiate between these and correct ones. This is an integral part of automated driving.

Data analytics can be used in a variety of sectors. Avoiding measurement errors can save lives and vastly reduce costs. Or it can also simply be used to boost entertainment value.

Media coverage of sports is growing exponentially. For a long time now, the focus has been not just on the results but also on individual performances. Data analytics can precisely calculate and evaluate sports-relevant parameters.