Data Accuracy: How it is verified and maintained?

Maintaining the integrity of our fleet data is a core priority at ch-aviation. We have a comprehensive, multi-layered quality assurance framework in place that combines manual oversight, automated checks, and ongoing team collaboration to keep our data as accurate and up to date as possible.

Weekly review and automated screening

Every week, our Quality Assurance team manually reviews all changes made by the fleet data team before any updates are imported into our production database. At the point of import, an automated batch process runs simultaneously — flagging data points that are either likely or definitively incorrect through a system of warnings and hard errors. Each flag is investigated and resolved before the update is committed.

Structured maintenance schedule

Our researchers follow an annual maintenance checklist broken down into weekly, monthly, quarterly, and annual tasks. This ensures that data is not only updated reactively but is also systematically reverified on a rolling basis from multiple source angles — reducing the risk of information becoming outdated or going unnoticed.

Cross-team communication and internal training

Data quality is a shared responsibility at ch-aviation. Internal training ensures that potential data issues are effectively communicated across teams, including our news editors and journalists, senior management, and the operator data research team. This means that insights from across the business can contribute to keeping the dataset accurate.

Customer feedback channel

Our customers are an important part of our quality assurance process. A dedicated feedback system allows users to flag potential inaccuracies directly to the fleet data team. Each submission is reviewed by a researcher, who investigates the point raised and responds with their findings. If you spot something that does not look right, we encourage you to use this channel.

Weekly automated database reports

In addition to the import-stage checks, automated quality assurance reports are run against the production database every week. These reports surface potential discrepancies and highlight gaps where data has not yet been confirmed by operators or lessors, ensuring that outstanding items remain visible and are followed up on.

If this article does not answer your question or resolve your issue, you can always submit a ticket and our Customer Support team will get back to you as soon as possible.