Data Migration Without the Nightmare

WAVES: The only data migration methodology built by people who've actually run airline maintenance operations. 30% fewer resources, faster timelines, no error iteration hell.

Customer Challenge

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WAVES Data Management Toolset

Tsunami Advantage

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The Problem With Traditional Data Migration

Here's how most data migrations go:

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Generic consultants treat data migration as "mapping fields." In complex industries like aviation, defense, and energy, data migration is forensic auditing. You can't just migrate a part. You must migrate its entire history, validate it against regulatory requirements, and ensure it matches how operations actually work.

  • 38%of implementation failures are caused by poor data migration
  • 70%of data migration projects face major setbacks or delays
  • 30%fewer resources with WAVES

How WAVES Is Different

WAVES stands for Wash, Analyze, Verify, Enhance, Store. It's the only data migration methodology built by people who've actually run airline maintenance operations, shipyard programs, and utility asset management.

We don't just map fields. We validate data integrity before migration, not after. We catch configuration conflicts before they break the system. And we ensure that when you go live, your data is accurate, complete, and ready to support operations.

The proof: we complete data migrations with 30% fewer resources and a reduced timeline.

Walk through the five stages →

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Example of applying WAVES + SME Fusion for Customer Data Migrations

Manpower

Fleet 1

Go-Live

Fleet 2

~ 30% reduction in manpower requirements and reduced completion timeframe

Go-Live

Fleet 3

Anticipated further reductions in manpower requirements and reduced completion timeframe

  1. 1Configuration Data
  2. 2Incompatibilities and Reference Tables
  3. 3Maintenance Data
  4. 4Actuals and IETM Data
  5. 5Task Incompatibles and Flight Data
  6. 6External Data Store Mapping
  7. 7Enhanced Script Re-use
  8. 8Data Audit and Validation
  9. 9Erroneous Records Kick-Out Logic
  10. 10Snapshot and Packaged Data Migration Events
  11. 11Enhanced Logging and Mapping
  12. 12Evaluating Future Enhancements
  13. 13Implementing Auto Data Store Creation

Proof: Fleet 1-3 Case Study

We migrated three fleets for a major airline. Here's what happened:

See Fleet 1-3 Case Study →

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Technologies We Use

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Who WAVES Is For

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Schedule WAVES Demo

See the methodology in action.