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Cloud Analytics: Scaling AWS and Tableau at Deutsche Bahn

Want to learn how Deutsche Bahn—Europe's biggest railway operator—overhauled their analytics infrastructure by migrating to a scalable, cloud-based solution built on AWS and Tableau? Join this webinar to find out.

Faced with the challenge of managing huge volumes of passenger and logistical data, Deutsche Bahn transformed their data strategy to meet the company’s growing needs—providing an excellent blueprint for how to build analytics at scale in the cloud with AWS and Tableau that enables employees to collaborate and share insights.

Watch now to discover:

  • Best practices for migrating from a legacy on-premise deployment to a cloud analytics platform
  • How to eliminate data silos and accelerate your organisation's data-driven culture
  • How Deutsche Bahn scaled Tableau from five to 5,000+ train stations in just four months to give employees access to self-service analytics
  • How to reduce your data infrastructure and overhead costs

About the speakers

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Dr. Martin Schmidt

Product Owner & Data Scientist

Martin Schmidt holds a PhD in Environmental Modelling and worked as BI Consultant prior to DB. As a team lead he is working at Deutsche Bahn since 2019 and is product owner and data scientists for different projects.

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Dr. Wolfgang Schult

Technology Lead and Senior System Architect, M2.technology&project consulting

As Technology Lead and Senior System Architect, Dr. Wolfgang Schult looks back on many years of experience at M2 and a multitude of successful customer projects.

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Matthias Saltenberger

Senior Campaign Specialist DACH | Tableau Deutschland GmbH

Matthias has 10+ years of experience in creating, organizing and managing integrated marketing campaigns. Before Tableau he studied Information Science and Engineering where he focused on Online Marketing and Information Architecture. His broad knowledge about databases helps him run successful campaigns that focus on the IT audience and analyze campaign performance through data visualization.

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