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Data Migration

We plan and deliver data and middleware migrations, including source analysis, transformations, reconciliation testing, cut-over and rollback planning.

Business and IT requirements

Migration requires dependency analysis, data preparation, testing, a cut-over plan and rollback procedures. We coordinate these steps with project and business teams.

The 150+ migration references belong to Data eXcellence, an Alan Allman Associates firm with which Satisco can deliver joint engagements.

We analyse source data, applications and business processes before designing transformations. Double development uses two independent implementations and compares their results across the full dataset.

Our services

  • Assessment and cut-over strategySource analysis, gap mapping, and an explicit arbitration between big-bang and progressive migration, with the reversibility cost of each stated up front.
  • Platform modernisationWTX to ITX, MQSeries to MQ, Sterling to ACE, on-premise to hybrid. Paths we have walked before, supported by our own migration tooling.
  • Industrialised transform and loadMetadata-based code generation, parallel processing and scripted loading reduce manual steps and make operations reproducible.
  • Double-development quality controlTwo developers implement independently and results are compared automatically across the full record set. Every field verified, not sampled.
  • Go-live and validationMonitored cut-over, predefined rollback, detailed logs, business sign-off on real data, and a complete audit report.
  • Data quality inside the migrationMigration includes data quality analysis, cleansing, enrichment and deduplication. Business rules are validated and checked during loading and after cut-over.
  • Audit, second opinion and migration controlAn independent review of migration strategy, test coverage and validation criteria before launch or following an interrupted migration.
  • Reconciliation to full coverageSource and target data are converted to a common model, then compared record by record. Differences are documented for analysis and business validation.
A migration is the cheapest moment to fix reference data. Cleaning identifiers, addresses and party records during cut-over pays for itself the first time a reporting or AI use case needs them.

Typical project needs

  • End of life or end of support on a platform
  • ERP, WMS or core-banking replacement
  • Post-acquisition consolidation of duplicate systems
  • A failed or stalled first migration attempt
  • A regulator or auditor asking for migration evidence

Technologies and standards

  • IBM DataStage
  • IBM WTX / ITX
  • IBM Sterling B2B Integrator
  • Satisco Technical Migration Tool
  • Replay and reconciliation tooling
  • Move to Cloud assessment tool

Assessment and scoping

A 5 to 15 day assessment gives you a map of this scope, a gap analysis and a costed plan.

Discuss your project

Proof

Project references

Logistics and distribution

Warehouse management system data migration

A full migration from a legacy WMS to a new platform covering items, stock positions, open orders and inventory history, with zero data loss guaranteed through double development and automated full-coverage testing.

WMS · Data migration · ETL · Zero data loss

Engagement models

Assessment — 5 to 15 days, fixed price. Flow cartography, gap analysis, costed plan. A short document written to be signed by a decision-maker.

Build — A bounded project. Design, development, testing and cut-over on a defined perimeter.

Run — Recurring. Operations, monitoring, evolution and on-call cover on your critical flows.

Discuss your scope

Assess your integration architecture

A 5 to 15 day assessment gives you a flow map, a gap analysis and a costed plan. Short, fixed price, written to be signed by a decision-maker.

Discuss your project