Q.Data integrates, contextualizes, and ensures the quality of your data
Out-of-the box no-code edge connectors supporting 100+ data sources
Reliable edge-to-cloud data pipeline for easy data ingestion
Single, federated, and contextualized data repository
A digital-twin that models assets, processes, and product relationships
Data contextualization to transform senseless data into useful information
Support for industry standards ISA-95, ISA-88
Tools to ensure validity, completeness, uniqueness, timeliness, and consistency
Continuous quality assurance processes
Actionable data always ready for analytics
Heterogenous IT and OT data spread across many plants, locked up in your legacy data collection systems and engineers’ spreadsheets.The solution: Q.Data integration
Data integration module with out-of-the-box, ubiquitous, and no-code edge connectors and edge-to-cloud data pipeline enabling easy data ingestion from your disparate IT and OT data sources.
Lack of related information on your data, which limit their usability beyond the system that generated the data.The solution: Q.Data contextualization
Data context module to model asset, process, and product relationships (digital-twin) between your data sources, complying to your industry standards.
Absence of continuous monitoring of quality and integrity leading to limited trust in your collected data.The solution: Q.Data quality
Data quality module to ensure validity, completeness, uniqueness, timeliness, and consistency of your collected data.