The automotive sector generates huge amounts of data; and this amount of data will only continue to grow as autonomous and connected vehicles collect real-time data on customer habits and preferences. Turning this data into relevant insights depends on the company’s innovative approach.
Compared to a phone app, a problem with connected vehicle software can have dangerous driving safety consequences. As a result, automotive innovation and production cycles must be interconnected and pass multiple quality assurance checkpoints before they can be sold. But as customers become accustomed to rapidly evolving digital technologies and the market continues to evolve, automakers and OEMs must shorten these cycles without compromising safety and security. .
Uvarova says the digital twins, a virtual analog of software, and the mechanical and electrical parts of a physical car can carry real-time inspection data, maintenance history, data warranty and defect, is one of many emerging technologies that can help bridge this gap. .
Driving continuous improvement of products and services means that working methods must also complement the technology used to innovate modern software-defined vehicles. Uvarova notes that the agile approach—managing projects through iterative phases involving cross-departmental collaboration and continuous improvement feedback loops—would be a good fit. modern innovation and good service for OEMs.
“To ensure that we support innovation and bring the latest, most advanced software-defined vehicles to market, a lot of departments have to work together, and they have to do it,” says Uvarova. working together very quickly, in fact, quickly.”
What is often missing from traditional OEMs is cross-departmental collaboration as many processes continue to work top-down and are confined to silos.
“A lot of great innovations, they are born from cross-pollination, from collaboration, from coordination between very different parts of the same company, sometimes also from different parts of the same company,” says Uvarova. partnership relationship.
Data silos, where internal processes and data flows cannot be easily shared between departments and operational phases, often cause inefficiencies and duplication of work. Historically, many industries, including automobiles, have performed brilliantly in these vaults, says Sayer. However, to work flexibly, create connected products, and get the most out of the data it generates requires collaboration and data sharing.
