Key Takeaways from the Data Journeys at Zalando, Porsche and Volkswagen Financial Services (EN)

Many large companies in Germany and Europe are now starting their data transformation in order not to lose the edge to companies in the US and China. The decisive question is here how to start and implement the Data Journey in large organizations. One crucial step is the transition from the Data Strategy and Data Lab phases to to a Factory environment. Whereas in the first two phases Data Prototypes are drafted and built, the difficulty in the latter phase is the operation of Data Products and the management of their portfolio. Besides organizational challenges, also the governance of the data itself is a point that needs to be optimized on the way to a thriving data driven organization. In addition to that recent events have highlighted the importance of software development and operation skills which leads to the Data Ops phase of the Data Journey where the focus lies on running the product and maintaining it. 

1. Learn how to set the right environment to launch your data projects in an agile way that allow you to fail fast and move on for a quicker route to success.
2. Find out how to create a modern data culture that will revolutionize company operations to get the most out of working with your data assets and drive your business forward.
3. Hear about recommendations concerning software tools, frameworks and cloud platforms.
4. Benefit of the challenges and successes as well as the experience of data & ai projects from VWFS, Zalando and Porsche. 

Ingo Alzner, Plattform Manager BI & Big Data, Porsche AG
Dr. Alexander Borek, Global Head of Data & Analytics, Volkswagen Financial Services AG
Alexander Thamm, CEO, Alexander Thamm GmbH
Kshitij Kumar, VP, Data Infrastructure, Digital Foundation, Zalando