Introduction
Efficient data management is the linchpin to unlock the true potential of automotive test data. Without a system driven approach, centralized management of automotive test data is heavily dependent on human intervention making it an uncertainity.
The Significance of Automotive Test Data Management
When data is scattered across multiple locations, its full potential remains untapped. OEMs invest significantly in collecting test data, and effective data management ensures this valuable resource is fully utilized. By centralizing data, OEMs gain easy access, traceability of historical data, and comprehensive analysis capabilities, enabling them to make informed decisions, optimize processes, and extract actionable insights for enhanced vehicle development.
Maximizing the Value with StellarAi
StellarAi by DriveTech focuses on Data Consolidation and Management as one of its core functions. With StellarAi, you can easily centralize project data in a secure data warehouse. The web platform also offers the ability to organize data into separate datasets and arrange files in the desired sequence. This system consolidated data can be shared exclusively with the relevant team members, eliminating the need to physically handle large amounts of data.
StellarAi also seamlessly integrates with your existing DAQ tools, allowing you to gather data from specified locations remotely. It also comes with a built-in feature for automated analysis based on this data. (Read more about it here).
Conclusion
Effective automotive test data management is crucial for leveraging the full value of data investments. StellarAi provides the tools and capabilities to systematically centralize and optimize data management, driving better outcomes in vehicle development.
