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4 min read

Best Practices for Data Migration in Aviation Maintenance Software

Best Practices for Data Migration in Aviation Maintenance Software
Listen to the Blog Instead: Best Practices for Data Migration in Aviation Maintenance Software
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Migrating data in aviation maintenance software isn't just about moving records from one system to another—it's about ensuring continuity, accuracy, and operational efficiency. Without the right approach, organizations risk carrying over bad data or, worse, losing critical maintenance history. As Peter Mortimer, Veryon Head of Sales & BD (Americas & APAC), pointed out in a recent National Business Aviation Association thought leadership webinar:

"This has been the biggest focus point of a transition between systems because you can't take bad data and put bad data into a new system. Regardless of how good that system is, you've still got bad data."

Peter Mortimer, Veryon Head of Sales & BD (Americas & APAC)

A structured data migration plan can prevent these pitfalls. In this blog, we'll explore best practices, recommended tools, and the importance of departmental collaboration.

Key steps for a smooth data migration

Organize and structure data early

Before migration begins, categorizing and structuring data efficiently can prevent downstream issues. Data should be organized logically based on aircraft components, maintenance logs, and historical records. Kim Watne, Veryon Aviation Data Quality Technical Analyst, shared how proper organization streamlined her migration experience:

"They had already scanned all the documents by year and separated the engines from the airframe, from the propellers. So, when I migrated the data from the shared drive to the document folder in the system, it made it much easier for the team."

Kim Watne, Veryon Aviation Data Quality Technical Analyst

 

Map and standardize data

Understanding how data is structured in the old system versus the new system is critical. Many legacy systems use different terminology, which can create inconsistencies if not addressed. Justin Linscomb, Veryon Director of Data Quality, stressed the importance of data mapping:

"Data mapping is huge. It's one of the bigger challenges because two things worded differently might actually be the same thing. Understanding those technical nuances makes for a more seamless transition."

Justin Linscomb, Veryon Director of Data Quality

By developing a clear mapping strategy, organizations can avoid discrepancies and achieve accurate data translation.

Cleanse and validate data

Migration presents a prime opportunity to clean and standardize data. Removing duplicate entries, correcting inconsistencies, and validating historical records enhances data integrity. Mortimer recommends using this transition as a chance to improve data quality:

"Not everybody does it, but it's always my recommendation that data cleansing be done as part of the process. Once data is in a flexible format like Excel, cleansing it before migration makes the transition much smoother."

Peter Mortimer, Veryon Head of Sales & BD (Americas & APAC)

Strategic planning and thorough assessment

Effective data migration begins with meticulous planning and a comprehensive assessment of existing data. By setting clear objectives and understanding the structure and dependencies of the data, organizations can mitigate risks and streamline the transition.

  • Define migration objectives: Clearly articulate the goals and desired outcomes of the migration project.
  • Identify data dependencies: Analyze relationships between different data sets to guarantee smooth migration.
  • Data profiling: Analyze data structure, format, and content to understand the source data thoroughly before mapping.
  • Data mapping: Create detailed mapping rules to accurately translate data from the old system to the new one. 

Rigorous testing and validation

Testing is a crucial phase in the migration process, ensuring data accuracy, consistency, and functionality before full implementation. By conducting controlled test runs, organizations can detect and resolve issues proactively, reducing the likelihood of errors post-migration.

  • Test environment: Set up a dedicated testing environment to simulate the migration process and identify potential issues.
  • Data migration testing: Conduct thorough testing on data samples to validate data integrity and transformation accuracy.
  • Dry runs: Perform full-scale data migration simulations to identify bottlenecks and refine the process.

Leveraging automation for a more efficient migration

Automation plays a major role in streamlining data migration, reducing manual errors, and maintaining accuracy.

Use Excel as a flexible tool

While many modern software solutions include migration utilities, Excel remains a staple. It allows teams to format and cleanse data efficiently. Watne shared her experience:

"Mine were all Excel. Mine was very simple. I was very lucky."

Kim Watne, Veryon Aviation Data Quality Technical Analyst

Automated extraction and mapping

Automation removes the need for manual data interpretation and facilitates structured data conversion. Linscomb explained:

"Automated tools can capture most of the data from an Excel-based platform, maintaining data integrity and reducing onboarding time."

Justin Linscomb, Veryon Director of Data Quality

Reducing onboarding time and errors

By automating data extraction and entry, companies can significantly cut down on transition time. Linscomb noted:

"Automation is huge because it cuts down on enrollment and onboarding times. More importantly, it increases data integrity."

Justin Linscomb, Veryon Director of Data Quality

Poll results: The key benefits of automated data migration

Data Migration PollTo further validate the importance of automation, a group of aviation experts was polled on the key benefits of using automated tools and technologies for data migration.

These results highlight the industry's recognition of accuracy and speed as the top advantages of automation, reinforcing the need for well-integrated tools during migration.

The importance of cross-departmental collaboration

Data migration isn't just an IT responsibility—it requires input from multiple departments to facilitate seamless integration.

Sequential migration between teams

Teams often migrate data at different paces to avoid workflow disruption. Watne explained how procurement and maintenance worked together during her migration:

"The procurement department stayed on the second system longer than the maintenance team just so they could do checks and balances."

Kim Watne, Veryon Aviation Data Quality Technical Analyst

Ongoing auditing for accuracy

Frequent audits verify that the data remains accurate post-migration. Watne shared her process: 

"I would go in and audit all the aircraft and verify part numbers and serial numbers. It takes time, but not that much—you just need uninterrupted focus."

Kim Watne, Veryon Aviation Data Quality Technical Analyst

Communication is key

Data migration requires ongoing dialogue between stakeholders. Linscomb emphasized: 

"Continued communication between maintenance and the vendor running your platform is really important. A lot of times, old or outdated data exists in the system, and ongoing audits help resolve that."

Justin Linscomb, Veryon Director of Data Quality

Leveraging real-time data and Veryon Tracking for seamless data migration

Real-time data capabilities play a crucial role in modernizing data migration processes. By integrating tools like Veryon Tracking, organizations can:

  • Improve Accuracy: Real-time updates help detect discrepancies and prevent outdated information from being migrated.
  • Enhance Visibility: Maintenance teams can track changes instantly, reducing the risk of data loss during transition.
  • Increase Efficiency: Automated alerts and tracking features allow organizations to monitor data migration progress and address issues proactively.

Veryon Tracking provides real-time monitoring and validation, ensuring that critical maintenance records are preserved and accessible when transitioning to a new system. Organizations that leverage real-time data integration can significantly reduce risks associated with migration and improve operational efficiency.

Final thoughts

Data migration in aviation maintenance isn't just a technical task—it's a business-critical process that impacts efficiency, compliance, and operational reliability. By following best practices, leveraging automation, and fostering interdepartmental collaboration, organizations can achieve a seamless transition and maintain the integrity of their maintenance records.

As Mortimer put it:

"Using technology to your advantage means getting data into a format that can be flexible and adaptable, ensuring a streamlined migration process."

Peter Mortimer, Veryon Head of Sales & BD (Americas & APAC)

Watch the full conversation about data migration. 

Take the next step with Veryon Tracking

If you're looking for a reliable solution to manage your aviation maintenance data efficiently, Veryon Tracking offers a seamless and automated approach to data migration. With industry-leading tools and expert support, we help organizations transition smoothly while maintaining data integrity.

Learn more about how Veryon Tracking can transform your maintenance operations—Contact us today!