Gain actionable insights from streamed data analytics
- Anomaly detection and correction, for clean data with meaningful results
- Event or feature extraction based on sophisticated conditions, so only specific situations are considered
- Data compression for volume reduction and increased performance
- Data reduction to summarize particular aspects of data in a histogram or spectrum
- Signal processing such as sampling, filters, Fourier analysis or arithmetic operations, to transform the data
- Integration of machine learning for applications such as virtual and inferential sensing
- Deliver better insights and enable greater understanding of how products are used
- Reduce cost of unnecessary testing
- Improve target setting for design loads and test scenarios
- Reduce warranty claims without overdesigning and adding unncessary cost
- Optimized designs that deliver reduced overall cost, weight, and energy consumption
Free Whitepaper Download: Transformational Insights from Digital Bus Data
Bus data is increasingly used for many applications beyond its initial purpose. These applications include usage monitoring, design validation, design enhancement, and safety validation.
Connected vehicles, for example, are making these sources of data readily available and offer the promise of transformational information. Benefits include the ability to better design products according to actual usage patterns in order to reduce warranty costs. However, bus data raises a number of challenges, essentially due to the quality and quantity of data.
The next generation solution for meeting these challenges is now available in Aqira. This web-based platform delivers access to nCodeDS, a scalable technology that enables engineers to gain actionable insights from streamed data analytics.
