![]() Data insight – applies processes and algorithms to large data sets or event streams to deriveĪctionable insights.Related data sources, or outputs from other processes such as artificial intelligence and machine Data enrichment – incorporates and augments the data with additional information from other.Including data lakes, data warehouses, data marts, databases, or document stores. Data ingestion – ingests data in different formats, sizes and velocities into various data solutions.Some examples of these key micro-capabilities for the QSense Platform include: The QSense Platform has robust micro-level capabilities that can be customized, configured, assembled, mixed and matched to create options to support any future business need. The use of industry-standard data management platforms allows for easy integration with a wide range of artificial intelligence/machine learning (AI/ML), business intelligence, analytical, and data visualization tools. These flexible services allow the platform to process a variety of data formats for multiple purposes, such as Extract-Transform-Load (ETL), business rules, analytics, and calculations. The QSense Platform utilizes custom developed services for data processing, using standard programming languages and cloud frameworks. The QSense Platform supports data ingestion through multiple methods, including managed file transfer, asynchronous messaging, and web service APIs. Railinc's QSense Platform is an enterprise-grade, fully managed SaaS product, built with industry-leading cloud data management and custom Railinc components.
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