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Data Intelligence Hub Journal

Digital business models in Industry 4.0 - Data is becoming increasingly important for production

In modern times, digital business models are the fundamental differentiator of future competitiveness in Industry 4.0 and are becoming increasingly important. In order to better understand data-driven business models, the platform industry 4.0 provides a number of examples of why they are advantageous for the future. Read more

Dr. Karsten Schweichhart
Dr. Karsten Schweichhart
25. Jun 2020

Material order optimization

For a smooth “just-in-time” material delivery, orders as well as participants musst be coordinated. Systematic data processing helps with this. Everyone receives the relevant information and a translation service prevents misunderstandings. Read more

Lina Hinterseer
Lina Hinterseer
23. Apr 2020

Joint process improvement through Collaborative Condition Monitoring

The collaborative use of data offers valuable insights to all parties along the value-chain, which can be used to optimize products and processes. Read more

Lina Hinterseer
Lina Hinterseer
23. Jun 2020

Good weather for modern agriculture

Farmers are highly dependent on weather and soil. Smart farming combines, for example, agricultural data with weather data in agriculture to be able to take timely measures against negative effects. Thus, product quality, quantity, and pricing can be optimized. Read more

Lina Hinterseer
Lina Hinterseer
23. Apr 2020

Positive prognosis for viticulture

In viticulture, external factors such as the weather play a major role in determining the harvest yield. Through the analysis of past and current weather data, linked with the weather forecast, IoT devices support the planning and optimization of the vintage. Read more

Lina Hinterseer
Lina Hinterseer
23. Apr 2020

Digital twin speeds it up – for example a break

Mistakes and errors slow down production and cost money. How to prevent it? Wouldn't it be ideal to identify defects prior to production? “Frontloading” with digital twins can do the trick. Read more

Jörg Heizmann
Jörg Heizmann
18. Aug 2019

Easy and standardized connection of machines with Umati

With consistent standards, Umati and the Data Intelligence Hub enable efficient data exchange in the industry. Read more

Janek Mulac
Janek Mulac
01. Oct 2019

Fast and secure data exchange between OEM and supplier

Intelligent mobility applications require large volumes of data. An OEM that sources, analyzes and utilizes this data, has a good chance to stay competitive. Read more

Jörg Heizmann
Jörg Heizmann
11. Apr 2019

The perfect beverage mix

There are various dependencies between the players in beverage production. A roles and rights system prevents unauthorized access during the exchange of production data. Read more

Lina Hinterseer
Lina Hinterseer
23. Apr 2020

Industry 4.0 solves quality problems

Intelligent networked machines improve the process chain and products in manufacturing companies. The Data Intelligence Hub makes Industry 4.0 possible. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
04. Dec 2018

Discover anomalies in production earlier

With smart monitoring, service technicians can easily monitor machines and production processes and react earlier – the Data intelligence Hub offers such an analytics service. Read more

Jörg Heizmann
Jörg Heizmann
04. Dec 2018

Neat ideas for scruffy garbage

Intelligent waste management means, waste bins equipped with sensors send their filling-level and geographical location. With this data, the ideal time for collection is calculated. Read more

Lina Hinterseer
Lina Hinterseer
23. Apr 2020