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Legacy Data Conversion

Bring old data onto a platform the rest of the business can use

Conversion covers databases that have outlived their applications, and the files those applications still emit.

Curved shelves of archived volumes in a library.
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Sources we plan for

  • Legacy databases
  • Flat files
  • CSV
  • Excel
  • XML
  • JSON
  • Mainframe data
  • Legacy application databases
  • Proprietary formats

Business benefits

Reduce legacy dependency
Move the records a business still needs off platforms that are hard to staff and change.
Improve accessibility
Put the same history where reporting and applications can query it.
Improve data quality
Find broken keys and incomplete layouts while the conversion is still reversible.
Modernize infrastructure
Land the data on a current database instead of another unsupported store.
Enable analytics
Give analysts a model that is stable enough to query.
Enable AI
Prepare a governed store that future assistants can use. No model is called from this page.
  1. 01

    Legacy System

  2. 02

    Data Discovery

  3. 03

    Data Profiling

  4. 04

    Data Mapping

  5. 05

    Transformation

  6. 06

    Conversion

  7. 07

    Validation

  8. 08

    Modern Data Platform

The conversion path used to scope an engagement.

Discuss a conversion

Tell us the legacy system and the platform you want to reach.