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Oracle Data Migration

Oracle Data Migration Services

Clean data is what makes an Oracle go live succeed. Erpvora plans and executes data migration into Oracle applications with rigor, from extraction and cleansing through mapping, load and reconciliation, so you start live on data you can trust.

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Planning and execution of data migration into Oracle applications, with cleansing, mapping, reconciliation and rehearsed cutovers.

The business challenge

Legacy data is rarely ready to migrate. Duplicates, gaps, inconsistent codes and undocumented meanings surface only when migration begins, and underestimating this work derails go live timelines.

Migrations run without reconciliation leave the business uncertain whether everything arrived correctly, and data quality problems that cross into the new system undermine trust from day one.

Our approach

We profile source data early to expose quality issues while there is still time to act, and we drive cleansing with clear ownership on the business side. Mapping is documented and validated against target requirements.

We build repeatable load routines using Oracle loaders, rehearse the migration through mock conversions, and reconcile record counts and balances at each run so cutover is predictable and trusted.

Capabilities

  • Data profiling and quality assessment
  • Cleansing and enrichment coordination
  • Source to target mapping and transformation
  • Load routine build using Oracle loaders
  • Mock conversions and cutover rehearsal
  • Reconciliation and sign off

How we deliver

  1. 01

    Profile

    Analyze source data early to expose duplicates, gaps and inconsistencies that need action.

  2. 02

    Cleanse

    Drive cleansing and enrichment with clear business ownership of data quality.

  3. 03

    Map

    Document and validate source to target mapping and transformation rules.

  4. 04

    Rehearse

    Run mock conversions and reconcile counts and balances to prove the routines.

  5. 05

    Cut over

    Execute the final load during cutover with reconciliation and formal sign off.

Typical use cases

  • Migrating master and transactional data into Oracle Cloud
  • Profiling legacy data before an implementation
  • Driving a structured cleansing program
  • Rehearsing cutover through mock conversions
  • Reconciling migrated balances for finance sign off
  • Consolidating data from multiple legacy systems

Business impact

  • A go live built on trusted data
  • Early visibility of data quality issues
  • Repeatable, tested load routines
  • Predictable cutover through rehearsal
  • Confidence from reconciliation and sign off
  • Reduced risk to the overall program timeline

Frequently asked questions

When should data migration start?

Early. Profiling source data at the start of the program exposes quality issues while there is still time to fix them.

Who owns data cleansing?

Cleansing works best with business ownership of data quality, supported by our tooling, mapping and coordination.

How do you ensure data loaded correctly?

We reconcile record counts and balances at each run and require formal sign off before cutover is accepted.

Do you run mock conversions?

Yes. Mock conversions rehearse the full load so the final cutover is predictable and trusted.