Data Analytics Tool Chain for Vehicle Development

This technical report outlines the requirements and implementation of a data analytics tool chain designed for the vehicle development test process. It emphasizes the importance of integrating various data sources to enhance data usability and compliance with industry standards. The report details the challenges faced in data processing, including the need for data cleansing, enrichment, and audit-proof storage. It discusses the significance of metadata in linking and processing data effectively, categorizing metadata into descriptive, structural, administrative, and statistical types. The document further explains the functionality required for a tool chain, including data acquisition, preprocessing, and distribution, while highlighting the necessity for robust access control mechanisms. Additionally, it addresses compliance requirements such as GDPR and ISO standards that enterprises must meet. The report concludes with an overview of how machine learning can be leveraged to analyze data and improve vehicle testing processes, ensuring high quality and cost efficiency.