Tomorrow's vehicles will be electric, fully networked, and software-driven. The VW ID.3, for instance, is already known as the "smartphone on wheels". However, networking and digitalization bring not only new opportunities in automotive production but also rising complexity. 2,500 process steps are necessary to program 160 control units in a premium vehicle of Audi with customer-specific data during the final assembly. This complexity will continuously grow, since both the processes and the production resources must be adapted to the increasing requirements of the product, optimized and further developed in a future-oriented manner. Efficient, up-to-date methods and tools are required to master this complexity. The electronic processes are digital throughout, providing a high volume of data and a high level of detail. This makes them predestined for data-driven optimization using Smart Data Analytics. Audi has applied this approach and verifiable and sustainably optimized its electronics-relevant production processes in final assembly. This project made it very clear that data-driven optimization involves much more than large amounts of data and powerful IT solutions. Smart Data Analytics must be seamlessly integrated into everyday work processes and established as a supporting tool. In this presentation, experiences from the project will be presented and best practices are derived, which can be transferred not only to other areas of automobile production but also to other industrial sectors.