Run your one-off migration without an annual software contract.

Migrate once. Improve as you go. Trust what lands.

Poor migration carries real risk: lost records, broken business rules, degraded data quality, costly rework. ISW's expert-led Data Migration Service takes that risk off the table.

Our certified specialists don't just move your data, they improve it — resolving quality issues and applying your business rules along the way, so your target system is trusted and fit-for-purpose from day one.

Scope Options

Small — Starter Pack
  • Shape: 1 integration process, 1 source
  • Source tables: up to 5
  • Max columns: up to 100
  • Run time: 8 hours
  • Implementation: 2 weeks
  • Typical sources: Dynamics 365 or Salesforce
  • Target(s): any cloud Lakehouse (Databricks, MS Fabric, Snowflake, Redshift, BigQuery)
  • Sample scenario: Member/customer contact quality in a CRM before marketing campaigns
  • Best for: proving value fast, a one-off migration for a small dataset, or a PoC for a bigger use case
Medium — Process
  • Shape: 1 integration process pulling from multiple source applications
  • Source tables: up to 10
  • Max columns: up to 500
  • Run time: 32 hours
  • Implementation: 8 weeks
  • Typical sources: CRM + ERP + flat file (SFTP)
  • Target(s): any cloud Lakehouse (Databricks, MS Fabric, Snowflake, Redshift, BigQuery)
  • Sample scenario: Order-to-Cash quality across CRM, ERP and a supplier price file
  • Best for: medium-size data migration for enterprise, public sector, or government organisations
Large — Solution
  • Shape: 1 deliverable solution across multiple source and target applications
  • Source tables: up to 50
  • Max columns: up to 1000
  • Run time: 100 hours
  • Implementation: 16 weeks (phased)
  • Typical sources: CRM, ERP, e-commerce, legacy database, supplier files
  • Target(s): any cloud Lakehouse (Databricks, MS Fabric, Snowflake, Redshift, BigQuery)
  • Sample scenario: Enterprise customer & product data quality for a multi-brand business
  • Best for: an enterprise-level data migration defined by scope and size

*Data Quality components are optional and can be added to any tier.

Book a consultation

Why choose ISW

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Full-Spectrum Capability

Our accelerators cover Batch Integration, Data Quality, Data Profiling, Bulk Data Migration, and Metadata Management, all delivered by one team, not stitched together from multiple vendors.

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Data Security

Throughout the program, your data stays in your own on-prem or private cloud environment. All migration pipeline execution happens in your compute, so data never leaves your organisation's boundary.

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Pre-Built Document Templates

Our templates for architecture, design, implementation, and execution plans cut documentation effort drastically, so less time is spent writing and more time delivering.

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Broad Connectivity

Pre-configured connectors connect to almost any modern warehouse or Lakehouse, so integration isn't a bottleneck.

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Pre-Built Accelerators

Target-specific architecture templates, design templates, dynamic functions, code blocks, pipelines, data quality rules, and test cases, ready to deploy from day one.

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Pre-Built Data Quality

Our optional data quality components come pre-built and ready to integrate directly with your transformation and migration pipelines.

See what this looks like for your data

Every migration starts with a conversation, not a contract. Tell us what you're working with, and we'll scope it from there.

From Discovery to Delivery

Week 1 — Discovery & Assessment

Engagement kick-off call, source system assessment, pain point identification, data profiling, data quality issue cataloguing, business rules gathering, and transformation rules definition. Output: Discovery & Assessment Report, including a source data profile, issue register, and a preliminary migration scope document.

Week 2 — Design & Architecture

Migration architecture & design, source-to-target mapping, data quality rule design, business rule implementation planning, exception handling framework, testing strategy, and stakeholder design review. Output: signed-off Migration Design Document, including source-to-target mappings, data quality rule specifications, architecture diagrams, and the testing strategy.

Week 3 — Build, Test & Validate

Pipeline development, business rule implementation, data quality fix implementation, unit testing, end-to-end migration testing, exception review, performance testing, and UAT support. Output: tested and validated migration solution, a Test Results Report, a resolved exception log, confirming readiness for production migration.

Week 4 — Migration Execution, Handover & Enablement

Production migration execution, post-migration reconciliation, issue resolution, documentation handover, training & enablement session, roadmap presentation, and formal sign-off. Output: completed production migration, full documentation pack, trained BAU team, and a strategic data roadmap.

Deliverables

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Documents

Discovery & Assessment Report, Architecture, high- and detailed-level design document, Business Rules, Transformation Rules, Data Quality Rules, Migration design and execution plan

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Configured Migration Pipelines

Production-ready data integration and data quality pipelines, built and ready to run

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Migrated Data in Target System

All in-scope data successfully loaded, with transformation and quality rules applied — optionally including data cleansing, deduplication, and standardisation as agreed

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BAU Pipeline & Operations Guide

Technical documentation covering pipeline design, configuration, and operational procedures, plus a live session for your BAU team on pipeline operations and data quality best practices

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Strategic Data Roadmap

A prioritised, forward-looking roadmap covering data quality improvement initiatives, data governance recommendations, and future migration requirements across additional source systems

FAQ's

Do I need anything in place before we start?

No — just come and talk to us.

Does my data ever leave our environment?

No. All migration pipeline execution happens in your own on-prem or private cloud compute — your data never leaves your organisation's boundary.

Can this connect with a Databricks environment?

 Yes — we can bring Databricks into your migration journey to help offset implementation cost.

ISW is trusted by companies worldwide

Talk to the experts

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Nick Young
Nick Young
Business Development Manager NSW
ISW

Nick leads operational strategy and service delivery with a strong focus on data management and integration. With deep expertise in Informatica and enterprise data platforms, he helps organisations streamline processes, scale efficiently, and make smarter, data-driven decisions to support long-term business transformation.