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Data migration and quality remediation

Move data into a new ERP, CRM or platform with profiling, cleansing and reconciliation that prove nothing was lost or corrupted.

Typical timing
8–20 weeks
Engagement
Phased programme
Delivery framework
User researchDiscoveryAlphaBetaLive

Most system implementations that go wrong do so because of data. This package migrates data safely to a new platform: profile it early, cleanse it at source, map and transform it with tests, rehearse the load and reconcile every record before go-live.

  • A new ERP, CRM or core system implementation is planned
  • Known duplicates, gaps and inconsistencies in current data
  • A previous migration caused post-launch problems
How it runs

Activities, step by step

The plan follows our delivery framework. Steps that do not apply to this kind of work are left out rather than padded.

  1. 02 · Discovery2–3 weeks

    Profile and plan

    • Source data profiled for quality issues
    • Mapping to the target data model
    • Migration strategy and reconciliation approach
  2. 03 · Alpha3–8 weeks

    Cleanse and build

    • Data cleansed at source with business owners
    • Automated, tested transformation pipelines
    • First trial load into a test environment
  3. 04 · Beta2–6 weeks

    Rehearse

    • Full dress rehearsals with timed runs
    • Record-level reconciliation and business sign-off
    • Cutover plan finalised
  4. 05 · Live1–2 weeks

    Cut over

    • Production migration and reconciliation
    • Post-migration issue resolution
    • Data quality monitoring handed over

Deliverables

What you keep at the end.

  • Data quality profile and cleansing log
  • Mapping specifications
  • Tested migration pipelines
  • Reconciliation reports signed off by the business
  • Cutover runbook

Outcomes

What it is built to change.

  • A go-live with complete, trusted data
  • Fewer post-launch data defects
  • Better data quality than you started with