Big data

Those who use all company data across the board are better equipped to make decisions, develop more specific products and service machines more economically. Data analysis can also be used to optimize customer management and supply chains. The basis for this is big data analytics and technologies. They make a significant contribution to the success of a company – because the prediction of events on the basis of comprehensive data analyses in real time is also gaining in relevance.

Lufthansa Industry Solutions assists companies throughout their data ecosystems and combines big data analytics with classic business intelligence technologies. In its in-house Data Insight Lab skills division, data scientists and data architects are developing strategies and use cases together with companies. In addition to this, our experts are analyzing and evaluating data and building data platforms for running operations.

Increase customer loyalty and automate processes with big data

Big data and artificial intelligence are the key to using machine learning in invoice auditing and increasing customer loyalty through personalized offers.
Big data and machine learning

Digitalization of the energy sector

The energy sector must embrace digitalization to remain competitive. New possibilities, such as IoT sensor technology and big data analytics, can help companies.
Three application scenarios

Digital transformation using big data technologies

Lufthansa Cargo is transforming its business processes with the development of an analytics platform based on big data technologies.
To the case story

Potential uses of big data in public transportation

Cutting costs and increasing revenues: Those who want to achieve these goals and ensure future success in the public transportation sector should utilize new technologies such as big data.
Two examples of use

“Data are the raw material of the future”

Dr. Lars Schwabe, head of the Data Insight Lab, talks to us in an interview about how his team helps a company on its way to becoming a data-driven company 4.0.
The Data Insight Lab

Predictive maintenance: taking better care of fleets with OMAHA

The future of predictive maintenance: In a research project, Lufthansa Industry Solutions is developing software for automated maintenance planning.
To the case story

Seize the potential of cloud computing and save money

Cloud computing is one of the most important basic technologies in the digital transformation. It promises a high degree of flexibility, easy scalability and lower costs.
More competitive thanks to cloud services

Language processing: applications

Artificial intelligence makes it possible to operate devices using voice commands. Computers that are capable of understanding written language have the potential to make work processes far more efficient.
Seize the potential of language processing

Smart catering serves up food trends

Whether they operate delivery services or fast-food chains – system caterers are having to satisfy increasingly demanding guests. New technologies are making it easier for them to do so.
The future of system catering

Industry 4.0: sensing the way to the smart factory

Industry 4.0 solutions are digitally driving success in production. For this reason, companies should implement IoT projects today in order to stay competitive.
The potential of Industry 4.0 and IoT
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