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Data Migration & Modernization Advisory.

Migrate your data to a modern platform without the failures, surprises, and quality regressions that derail most migrations — with expert advisory that addresses the data problems before they become platform problems.

Data Management Services

The Situation — When Clients Come to Us

Organizations come to us for data migration advisory when:

  • A cloud migration, ERP upgrade, or platform modernization is planned — and the organization has learned from industry experience that data migration failures are the leading cause of program delays, cost overruns, and post-go-live quality problems
  • Legacy data quality, governance, and documentation gaps mean the current data estate isn’t ready to migrate — and the organization needs to understand the true scope of remediation required before committing to a timeline
  • A previous migration attempt experienced significant problems — data loss, quality degradation, missing records, or broken integrations — and the organization needs an independent assessment of what went wrong and how to complete it correctly
  • Multiple legacy systems are being consolidated into a single platform and the data harmonization, deduplication, and governance design required to make that work has never been formally addressed

What We Do — Our Approach

  1. // Phase 1

    Data Estate Assessment & Migration Readiness

    We assess the current data estate — inventory, quality, documentation, lineage, and governance — to produce an honest migration readiness evaluation. We identify the specific data quality, architecture, and governance gaps that must be addressed before migration begins, and quantify the remediation effort required.

  2. // Phase 2

    Migration Strategy & Approach Design

    We develop the data migration strategy — defining scope, phasing, the migration approach for each data domain (lift-and-shift, transform-and-load, or harmonize-and-consolidate), and the sequencing logic that minimizes risk and business disruption.

  3. // Phase 3

    Data Mapping & Transformation Design

    We design the source-to-target data mappings, transformation rules, and business logic for each data domain — the technical specification that enables the migration team to build and validate the migration pipelines accurately.

  4. // Phase 4

    Data Quality & Governance Pre-Work

    We design the data cleansing, deduplication, and enrichment requirements that must be completed before migration — and the acceptance criteria that define when each data domain is migration-ready. We advise on the sequencing of quality remediation and migration activities.

  5. // Phase 5

    Validation Framework & Cutover Advisory

    We design the data validation framework — reconciliation rules, acceptance testing criteria, and sign-off checkpoints — that confirm data integrity before, during, and after cutover. We advise on cutover strategy, rollback planning, and post-migration monitoring. Migration execution is performed by the client or technology partner.

What You Get — Deliverables

  • Data estate assessment and migration readiness report — inventory, quality gaps, and remediation scope
  • Data migration strategy and phasing plan
  • Source-to-target data mapping specifications by domain
  • Transformation rules and business logic documentation
  • Data quality remediation requirements and acceptance criteria
  • Migration sequencing plan with risk assessment
  • Data validation framework — reconciliation rules and acceptance testing criteria
  • Cutover strategy and rollback plan design
  • Post-migration monitoring and governance specifications
  • Implementation guidance package for the client or technology partner

Most data migration failures were predictable — and preventable.

Iknow’s migration advisory addresses the data quality, governance, and architecture issues before they derail your program.

Contact Iknow

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