Aircraft Data Quality

Data quality is a term used to describe the overall accuracy and integrity of data. Data can be collected from various sources and systems. To ensure data quality, data must be managed properly. This includes verifying the accuracy of data, ensuring data is complete, and keeping data current. Data quality is important because it helps organizations make better decisions. Poor data quality can lead to incorrect conclusions, missed opportunities, and wasted resources. To ensure data quality, organizations should establish data governance policies and procedures. Data governance is the process of managing data to ensure it meets the needs of the organization. It involves creating standards for data collection and management, as well as monitoring and enforcing these standards. By establishing data governance policies and procedures, organizations can help ensure data quality.

Also read the blog: Tips & Tricks: Aviation Data Quality vs Data Integrity

Gradually airlines are shifting to a “re-launch” mode. Going forward both operational costs as well as capital expenditure will remain closely managed. Cost saving initiatives and efficiencies will be prioritized even further. The centrepiece of this will be for sure further digitization initiatives. The foundation of any digital strategy will be the data supporting this, its integrity and quality. In this article, Rob Vermeij shares some experience from the field in how airlines can evaluate and manage their data integrity to support successful digitization strategies:

The terms data quality and data integrity, probably you have heard these terms before across the engineering floor and especially in projects focusing on M&E systems. Mostly used as two interchangeable words, however there is actual a difference between the two.

To have good Data Quality, you generally need Data Integrity, but one is not excluding the other. Sounds complicated? Allow us to explain.