Data and Airworthiness - How to identify the state of your data quality & integrity and what to do next?
EXSYN Aviation Solutions | Simplifying Aircraft Data
Transforming Aircraft Data into Reliable Insights. Your Complete Platform for Data Quality, Reporting, and Analytics.
Before talking about the state of your data, let’s first get quickly into what is the meaning of data quality and data integrity.
Data quality refers to the overall level of excellence and trustworthiness of data. It is the measure of how well data meets the needs of its intended users and the degree to which it is fit for its intended purpose. Factors that contribute to data quality include accuracy, completeness, consistency, timeliness, and relevance.
The International Civil Aviation Organisation (ICAO) defines data quality as?Accuracy, Resolution, and Integrity.
Data integrity refers to the preservation of the data's accuracy and consistency over time. It is the measure of how well data is protected from unauthorized or unintended changes, and how well it is controlled to ensure that it remains accurate and consistent. Factors that contribute to data integrity include validation, security, and backups.
Relevance Of Data Quality and Integrity
What is the real tangible relevance of data quality for aircraft airworthiness and maintenance & engineering? Basically, one can see these in 3 distinct areas:
1.????Airworthiness compliance
2.????Efficiency gains in business processes
3.????Financial impact
1. Data Is Airworthiness Compliance
Everyone is aware that if data is not correctly entered into the MRO/M&E system there can be huge safety implications, these mainly revolve around issues with rotables (missing parts, discrepancies in paperwork versus actually installed, requirements due), modifications status, and any other controlled event that is overdue. If something isn't adding up correctly in the system or doesn't "feel" right, users often create workarounds.
However, this can lead to a situation where the information reported doesn't match the information in the MRO/M&E system, affecting data integrity and airworthiness compliance. Data indicates for an airline whether or not particular aircraft are airworthy. As we all say in aviation, safety is paramount, and data quality and consistency are directly related to it.
2. Efficiency Gains in Business Processes
Good data quality can mean huge efficiency gains and be money safer too. A reliable clean MRO/M&E system prevents double work from employees, avoids costly “rescue” operations, keeps your financial books tidy, and creates room for further automation and innovation.
In general, there are a lot of possibilities, for example on the data analytical side such as predictive maintenance and monitoring certain things that have operational benefits. However, that is only possible if there is data available, accessible, and obviously again on an appropriate level of quality.
3. Financial Impacts
If your state-of-the-art M&E/MRO system is not trusted or not providing expected data, it often leads to (expensive) and undetected mistakes on the aircraft, but more importantly, people are putting considerate time into investigating data and or even creating workarounds whereas this should be a simple output of the system.
Good data quality is money safer too. A reliable clean MRO/M&E system prevents double work from employees, avoids costly “rescue” operations, keeps your financial books tidy, and creates room for further automation and innovation. ?
3 typical examples of data quality and integrity issues
Why is that?
Some of these problems look seemingly innocent and are often considered insignificant compared to the sheer size of modern datasets. But be aware, down the line, small issues can and will have an exponential impact as the dataset grows, eventually leading to things such as full inventory audits to verify your stock and the value it represents, doing labor intensive dirty fingerprint checks because of high doubts of the system status. Or, in the worst-case scenario, keeping an aircraft AOG as there might be discovered that critical items are overdue making the aircraft instantly non-airworthy, potentially shortening its economic life. We’ve seen real-life materialization of all of these examples during our work in the field.
What to do
Addressing data issues and the impact these have on efficiency and costs of daily business processes starts with establishing a baseline view of where data issues exist and which impact these have on airworthiness compliance, costs of maintenance, or costs of performing a certain business process.
1.?Use a modern MRO/M&E System (if not in place yet)
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2.???Full data health check & impact assessment
3.???Dedicated Taskforce
4.???Standards And Definitions
5.??Store Historical Data for Later Usage
6.?Data Verifications and Analytics Tools
?Customer example
Situation?
The helicopter operator has been using its current MRO software system for more than 10 years.?Data integrity issues caused by the initial data migration impair the usage of the MRO software system. This has led to inconsistent airworthiness data resulting in the grounding of aircraft and the creation of multiple workarounds in business processes.
Solution
A means to conduct fully automatic data validation and airworthiness consistency checks to maintain a standardized level of aircraft data quality. Covering areas such as maintenance programs, ADs, SBs, Mods, Aircraft configuration, Maintenance Last Done & Next Due, Hours & Cycles accumulation, part assemblies, and much more. Being able to directly identify required actions to avoid aircraft data issues that might result in the grounding of aircraft.
Using our software solution NEXUS the helicopter operator now monitors and manages its data easily and identifies flawed data added to the system.
Benefits
NEXUS? is a software solution in aviation that helps you to manage all your aircraft airworthiness and maintenance data. A software solution in conjunction with your MRO/M&E system to manage, collect and exchange data, whilst retaining confidence in data quality and accuracy.
?Conduct automated aircraft phase-ins
?Have full data validation and airworthiness consistency checks
?Have a backfill with OEM data
?Be able to have continuous Data Health Checks
?Use self-service reports such as maintenance due forecast
?Have interfaces for automatic data exchange
?Use Robotic Process Automation for automatic data uploads