Veras
Veras is SigmaStream's data quality assessment tool designed to evaluate and monitor the quality of data in drilling and completions workflows. It ensures that data is accurate, consistent, and meets required standards, enabling data service providers to maintain accountability. Veras provides data quality managers with the flexibility to customize measurement approaches, making it easier to adapt to specific needs and maintain high data integrity throughout operations.
The Unique Value Proposition
The UVP of SigmaStream's Veras is its ability to holistically monitor, evaluate, and improve the quality of data across diverse domains in real time, while providing actionable insights for decision-makers. Veras enables businesses to evaluate data quality across multiple dimensions—accuracy, consistency, completeness, and latency. It employs rules and templates tailored to specific needs, ensuring a structured yet customizable approach to data quality. By integrating real-time monitoring with historical data assessments, Veras ensures data quality at both the point of collection and over time. This dual approach allows for proactive management and validation of streaming data and stored datasets.
While initially applied to drilling data, Veras is a versatile framework applicable to other domains such as healthcare, construction, and public safety. Its ability to measure diverse qualitative and quantitative aspects makes it adaptable for various industries. Veras can be deployed on the edge or in the cloud, with its Veras Agent handling local rule execution and its Veras Hub consolidating metrics and synchronizing templates. This flexibility supports diverse infrastructure needs.
Data quality is the foundation of every successful business operation and the engine that powers innovation and decision-making in today’s world. Inaccurate or incomplete data undermines the reliability of insights, leading to flawed strategies, operational inefficiencies, and lost opportunities. Businesses operating in high-stakes industries like oil and gas, healthcare, or finance cannot afford such vulnerabilities. Beyond compliance and operational efficiency, high-quality data builds trust—trust in the decisions made, in the systems that deliver outcomes, and in the organizations that depend on it. Poor data can erode this trust, harming reputations and creating costly repercussions.
AI algorithms, which increasingly drive critical decisions, are only as good as the data they process. Without consistent, accurate, and complete data, even the most advanced AI models fail to deliver meaningful results. At SigmaStream, we recognize that the quality of data directly impacts the performance of AI. This understanding drives Veras—a solution designed to not only assess and monitor data quality but to actively “make your AI better.” Veras ensures that the data feeding into AI systems meets the highest standards, enabling organizations to harness the true potential of artificial intelligence.
Get in Touch
For further details about our solutions and services, please don't hesitate to get in touch with us