Beyond Information Silos Challenges in Integrating Industrial Model-based Data

Fragmented data management is commonplace for handling development and production data in large organizations today. While automated configuration and build mechanisms have made the implementation data more integrated, on higher levels of abstraction data is still fragmented into silos such as files or isolated databases. In the recent years, many companies, including a large number of automotive corporations, have realized the potential of integrating highlevel data when it comes to saving cost, lowering time to market, increasing the efficiency of the processes, and increasing the quality of products. To achieve the integration, many initiatives on tool provider level and on standardization level have started. OSLC is one example of underlying architecture to enable integration of data that is stored in a distributed fashion. Systemite has more than 15 years of experience in central integrated data management, largely in the automotive industry. In this paper, we discuss our experience on some of the challenges that we have faced during the past years when it comes to integrating model-based and fine-grained data. Finally, we provide two approaches to move forward towards open ecosystems for tool interoperability.