Data is a fundamental asset when it comes to leveraging analytics, machine learning and AI for automotive use cases, e. g. resiliency in supply chains, automation of manufacturing processes, autonomous driving and other mobility services. However, current data challenges such as low quality and limited access across the value chain hinder the full potential of these technologies and their applications. This whitepaper introduces three themes how to tackle these challenges.