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.

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

Successfully managing new energy systems with big data

Driven by digitization, new intelligent data and energy networks are emerging, which energy providers will only be able to manage cost-efficiently using IT solutions.
IT for the energy industry

Unbundling: new transparency in the transport chain

The smooth flow of goods and the flow of information are both growing more and more important. To this end, logistics companies need to advance the unbundling of information.
Unbundling in logistics

Utilizing and maintaining devices more efficiently with sensor technology

The IoT is a driver of digitization. If industrial companies utilize sensors, they can use their devices more cost efficiently and provide customers with new services.
More about sensor technology solutions

Logistics as the central coordinator in the supply chain

A smart supply chain is one part of a successful digital transformation. If logistics companies are the ones driving these changes, they become indispensable partners to everybody involved.
On the way to a smart supply chain

The application potential of sensors in refrigerated containers

If shipping companies equip their refrigerated containers with sensors they can offer their customers additional services and increase their revenues.
Two examples of use

Patris®: smart mobility concepts for transportation companies

On their way to smart mobility, municipal transportation companies are digitizing their sales and invoicing processes with Patris®.
IT for public transportation
Dr. Lars Schwabe, Leiter des Data Insight Labs

Becoming a smart enterprise with big data

Organizing and establishing data science and machine learning within the company: evolution instead of revolution?
To the specialist article by Dr. Lars Schwabe

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