Independent Data Migration Testing Services for UK Organisations

Data Migration Testing That Proves Critical Data Is Ready for Go-Live

Protect business continuity with source-to-target validation, automated reconciliation and cloud data migration testing built around your highest-risk records, rules and processes.

Completeness, accuracy and transformation validation
Cloud, database, ERP, CRM and application migrations
Rehearsal, cutover and post-migration assurance
Clear exceptions, evidence and release criteria

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19+ Yearsof industry experience

750+satisfied customers

200+technology professionals

83%repeat and referral business

Trusted by leading organisations

Migration Risk Hides in the Detail

A successful load is not proof that the target data is complete, correct or usable

Record counts can look reassuring while transformations, relationships, permissions, reports or operational processes are already wrong. IDS Logic tests the migration evidence that business and technology leaders need before cutover.

Source data is not understood

Duplicates, nulls, inconsistent codes and hidden dependencies enter the migration plan without an agreed baseline.

Mapping rules are interpreted differently

Business logic is buried in spreadsheets, code and assumptions, creating conflicting source-to-target outcomes.

Counts hide broken data

Volumes match while values are truncated, relationships are lost, defaults are wrong or duplicates are created.

Cutover confidence is subjective

Rehearsals, rollback, exception ownership and post-go-live checks are incomplete when the deadline arrives.

End-to-End Data Migration Testing Services

Assurance from source profiling to post-migration business validation

Our data migration testing services combine independent QA, data analysis, automation and business-process testing. Coverage is prioritised around material data, transformation complexity, regulatory sensitivity and operational impact.

Migration QA Strategy & Risk Assessment

Define how migration quality will be proven across data, applications, reports, integrations and cutover.

Risk-based test strategy
Entry, exit and acceptance criteria
Ownership, evidence and reporting model

Source Data Profiling & Baseline

Establish the quality, volume, relationships and known exceptions in source data before movement begins.

Record and control totals
Null, duplicate and format analysis
Reference-data and relationship baseline

Mapping & Transformation Validation

Test the approved rules that convert, merge, split, derive, default or retire data between systems.

Source-to-target traceability
Boundary and exception scenarios
Business-rule verification

ETL & ELT Pipeline Testing

Validate extracts, staging, transformation jobs, loads, schedules, dependencies and rerun behaviour.

Pipeline and job validation
Failure, restart and recovery checks
Incremental and batch processing

Completeness, Accuracy & Duplicate Checks

Compare source and target populations to identify missing, truncated, duplicated, altered or unexpected records.

Counts, totals and checksums
Field-level comparison
Duplicate and orphan detection

Referential Integrity & Relationship Testing

Prove that parent-child, cross-reference, hierarchy and transaction relationships survive the migration.

Primary and foreign key checks
Entity and hierarchy validation
Orphan and broken-link reporting

Cloud Data Migration Testing

Assure data moving to or between cloud databases, warehouses, lakes, SaaS platforms and managed services.

Full-load and incremental validation
Cloud access and configuration checks
Scale, latency and monitoring evidence

Explore cloud migration assurance

Application & Database Migration Testing

Validate data and business continuity when replacing applications, changing databases or modernising platforms.

Schema and compatibility checks
Critical workflow regression
Report and interface continuity

Security, Permissions & Sensitive Data

Check that access, ownership, masking, encryption and data-handling controls remain appropriate in the target.

Role and permission validation
Sensitive-data handling checks
Audit and access evidence

Explore security testing

Automated Reconciliation & Exception Reporting

Use repeatable scripts and queries to accelerate comparison, expose patterns and support multiple rehearsals.

Reusable validation queries
Exception classification
Reconciliation dashboards

Explore test automation

Business Process, Report & Integration Testing

Confirm that migrated data supports the journeys, calculations, reports and connected systems the business relies on.

End-to-end process validation
Report and control-total checks
API and integration regression

Explore integration testing

Cutover, Rollback & Post-Migration Assurance

Support rehearsal, final cutover and hypercare with clear readiness evidence, exception ownership and recovery checks.

Cutover validation pack
Rollback and recovery evidence
Post-go-live reconciliation

Source-to-Target Assurance Model

Source BaselineVolumes, quality, ownership, relationships and known exceptions

Mapping & RulesField mapping, transformation logic, defaults, merges and exclusions

MovementExtracts, staging, ETL or ELT jobs, batches, CDC and reruns

Target IntegrityCompleteness, accuracy, duplicates, formats and relationships

Business UseProcesses, reports, calculations, permissions and integrations

Cutover & OperationsTimings, rollback, monitoring, hypercare and ownership

Evidence-Led Reconciliation

Validation depth is matched to data criticality, not applied as a generic sample

We combine full-population controls and targeted business validation. The agreed strategy states which datasets require row-level or rule-level comparison, where aggregate checks are appropriate and how every exception will be classified and resolved.

Critical records, balances and relationships have explicit acceptance rules.
Source and target queries are version-controlled and repeatable across rehearsals.
Known data-quality issues are separated from migration-created defects.
Residual exceptions have owners, impact and an agreed treatment before cutover.

Flexible Migration Assurance Engagements

Choose the level of independent testing your programme needs

Start with a focused review, commission end-to-end migration QA or bring in independent specialists for rehearsal, cutover and reconciliation.

Assessment and planning

Migration Test Health Check

A rapid review of scope, mappings, data risks, environments, evidence and cutover readiness.

Typical outputs:

Risk and coverage assessment
Data-quality and mapping gaps
Testability and environment actions
Prioritised assurance roadmap

Request a Health Check

Most comprehensiveFull migration lifecycle

End-to-End Migration Assurance

Independent planning, automation, rehearsal validation, business testing, cutover and post-migration evidence.

Typical outputs:

Migration test strategy and controls
Automated reconciliation and exceptions
Business-process and report validation
Cutover recommendation and hypercare

Discuss Your Migration

Independent specialist support

Rehearsal & Cutover Assurance

Targeted QA capacity for migration runs, defect triage, reconciliation and final production readiness.

Typical uses:

Rehearsal comparison and reporting
Exception triage and retesting
Cutover validation pack
Post-go-live reconciliation

Plan Cutover Assurance

Migration Readiness Gates

Four controls turn migration activity into a defensible go-live decision

The programme agrees the required evidence early, so unresolved data risk is visible before final cutover rather than discovered by users afterwards.

Review Your Migration Risk

Scope and mapping readiness

In-scope data, ownership, source-to-target rules, exclusions and acceptance criteria are approved.

Design gate

Rehearsal and environment readiness

Representative data, repeatable runs, validation tooling, timings and recovery procedures are proven.

Readiness gate

Data quality and reconciliation

Critical populations, totals, transformations, relationships and exceptions meet agreed thresholds.

Integrity gate

Business and cutover acceptance

Processes, reports, integrations, permissions, rollback, support and residual risks are explicitly owned.

Go-live gate

Cloud Data Migration Testing

Validate the data move and the target operating model

Cloud migration assurance extends beyond record transfer. We test incremental movement, target performance, identity, security, reporting, monitoring and the integrations that consume or update the data after cutover.

Full-load, delta and change-data-capture scenarios.
Target capacity, query performance and batch windows.
Identity, access, encryption and sensitive-data handling.
Monitoring, alerts, reruns and operational reconciliation.

Discuss Cloud Migration QA

Tooling and Platform Coverage

Validation tooling selected around your data estate

We work with your migration and engineering stack rather than forcing a proprietary platform. Options are confirmed during discovery and depend on access, data sensitivity, scale and repeatability.

Databases & Queries

Source and target comparison, control totals, rules and exception analysis.

SQL ServerOraclePostgreSQLMySQL

Cloud & Data Platforms

Managed databases, warehouses, lakes and cloud migration services.

Microsoft AzureAWSGoogle CloudSnowflake

Pipelines & Integration

ETL or ELT jobs, staging, schedules, interfaces and recovery behaviour.

Azure Data FactorySSISInformaticaTalend

Automation & Comparison

Repeatable queries, scripts, checksums, rule engines and reconciliation outputs.

SQLPythonAPIsCustom validators

Business Validation

Reports, dashboards, applications, roles and end-to-end operational journeys.

Power BIERP and CRMSaaS platformsFile and API checks

Defects & Reporting

Traceability, exception ownership, retest evidence and programme dashboards.

Azure DevOpsJiraTestRailCustom dashboards

Controlled Migration Testing Process

From data risk to repeatable reconciliation and go-live evidence

The process adapts to agile migration waves, phased cloud programmes and fixed cutovers while preserving traceability and decision-ready reporting.

Discover

Understand systems, data owners, migration approach, dependencies and business-critical outcomes.

Baseline

Profile source quality, volumes, relationships and known exceptions before movement.

Design

Define coverage, validation rules, automation, environments, data handling and gates.

Rehearse

Test migration runs, timings, failures, reruns, rollback and business validation.

Reconcile

Compare source and target, triage exceptions, retest fixes and confirm thresholds.

Assure

Support cutover, verify production outcomes and document residual risk and ownership.

Migration Quality Reporting

See which data is proven, which exceptions remain and who owns the decision

Reporting separates migration-created defects from known source issues and presents technical discrepancies in terms of their business impact.

Coverage and validation status by entity, wave or business area.
Source-to-target totals, transformation rules and failed comparisons.
Exception ageing, severity, ownership and retest position.
Cutover timings, unresolved risks and post-go-live checks.

Migration Assurance Overview● Rehearsal 3 validated

12.4mrecords in validation scope

99.98%automated checks matched

18exceptions under review

Customer account control totalsPassed

Historical address transformationRetest

Finance report reconciliationBusiness review

Illustrative reporting only. Measures, thresholds and terminology are agreed for each migration.

Why IDS Logic

Migration testing that connects data evidence with business continuity

Our QA specialists work with data engineers, developers, integration teams, cloud specialists and business stakeholders to investigate discrepancies and support practical resolution.

Independent assurance

We can test migrations delivered by IDS Logic, your internal team or another implementation partner.

Data and application perspective

Validation covers values and relationships alongside the reports, workflows and integrations that use them.

Risk-based depth

Critical data receives stronger controls while low-risk areas use proportionate, documented validation.

Repeatable automation

Reusable queries and scripts reduce manual effort across rehearsals and improve comparison consistency.

Cutover-ready evidence

Stakeholders receive explicit thresholds, exceptions, timings, rollback checks and residual risks.

UK relationship and continuity

Work with IDS Logic teams in Leeds and London, backed by scalable multidisciplinary delivery capacity.

Relevant Migration & Assurance Experience

Quality assurance across cloud, platform and ERP-aligned change

These examples demonstrate migration, integration and QA capability within wider delivery programmes. Detailed data migration testing scope is agreed separately for each engagement.

Complex Commerce QA

AWS migration, testing and deployment support

IDS Logic supported a business-critical website migration to AWS and continued with frontend and backend quality assurance to improve reliability

Migration verification
Frontend and backend QA
Deployment support
Ongoing platform assurance

View case study

ERP-Aligned Platform Migration

Quality assurance across data-fed commerce journeys

A major Umbraco rebuild aligned with ERP migration required extensive QA across catalogue data, account journeys and high-volume ordering.

ERP-fed catalogue validation
Account and order journeys
High-volume scenarios
Release assurance

View case study

CMS Migration & Integration

Controlled platform transition with mapped Salesforce data

ICA moved from Laravel to WordPress while retaining reliable Salesforce integration and alignment with its wider portal ecosystem.

Platform migration and rebuild
Mapped Salesforce fields
Integration continuity
Controlled transition

View case study

Words From Clients

Hessington Health is a national health screening and occupational health service provider. We have been scaling up our business activity aggressively over the past 12 months and our workflow/IT needs have changed significantly as we have grown. We instructed IDSLogic for their passion to support business in helping them to create efficient processes, which in the long term save time and money. Thery have start with getting a very granular understanding of the clients needs and then offer several solutions. They have helped us integrate Power Automate processes in our SharePoint system. They date flow works flawlessly within SharePoint which helps achieve grater data security, and process management. We have now instructed them to develop our Patient App. I can not recommend them enough.

Dr Harjeev Rai

CEO/Medical Director Hessington Health

IDS has become a true strategic development partner for all our digital work. We have found their technical expertise a perfect complement to our in-house creative and digital team and IDS has been highly dedicated to helping us meet our goals for growth. The Emma’s Diary channel continues to grow and our plans remain ambitious. We are pleased to have IDS Logic’s trusted support on our journey.

Gareth Huxtable

Director, Lifecycle Marketing

This was a very complex and multi-layered project with ambitious targets. IDS helped us define our requirements and made a real contribution to project delivery, demonstrating their development experience on major projects.

Chris Manko

Technical Solutions Architect, Lifecycle Marketing

The new site looks excellent. I’m very pleased with the results and with the quick responses during testing and UAT.

The LensPal

USA

IDS Logic has proved their expertise in timely project delivery and this helped us to a successful on-time launch. Our new website can now truly support our evolving business strategy to remain at the forefront of our sector.

Pickfords

We came to IDS Logic with a vision for our site. The team listened, understood our requirements and produced an attractive and functional website that led to positive results. It is really a great pleasure to work with them.

LFRA

I am really happy to have IDS Logic on board and have been very impressed with their speed of implementation and professional approach to their work. This has made our collaboration an enjoyable and extremely valuable partnership.

Pebble Grey

Data Migration Testing Across UK Sectors

Assurance adapted to different records, controls and operational consequences

We do not claim that testing alone creates compliance. Scope is aligned with your data classification, contractual responsibilities, risk profile and applicable organisational controls.

Financial Services & FintechBalances, transactions, customer records, controls, reports and audit evidence.

Healthcare & WellbeingPatient or service-user records, permissions, history and workflow continuity.

Retail & EcommerceProducts, customers, orders, prices, stock, promotions and ERP integration.

SaaS & Cloud PlatformsTenants, users, subscriptions, usage, APIs and incremental cloud movement.

Education & MembershipLearners, members, enrolments, progress, credentials and historical records.

Manufacturing & LogisticsProducts, suppliers, assets, locations, orders and operational dependencies.

Professional ServicesClients, matters, documents, finance records, permissions and reporting.

Public & Third SectorCitizen, donor, service, case and programme data with clear accountability.

Start with the Data You Cannot Afford to Get Wrong

Build a migration test service around measurable source-to-target evidence

Share your source and target systems, migration stage, expected volumes and highest-risk business data. We will identify the most useful assurance starting point and the information needed to scope it.

Call our UK team
+44 (0)1135 316 314

Email IDS Logic
[email protected]

Frequently Asked Questions

Data migration testing questions, answered

For advice based on your source systems, target architecture, migration waves, data sensitivity and cutover plan, speak directly with our migration QA team.

Ask a Migration QA Consultant

What is data migration testing?

Data migration testing verifies that information moved from a source system to a target system is complete, accurate, correctly transformed and usable by the applications and business processes that depend on it. It also checks relationships, permissions, reports, integrations, performance and operational readiness before and after cutover.

What data migration testing services does IDS Logic provide?

IDS Logic can provide migration test strategy, source-data profiling, mapping and transformation validation, ETL or ELT testing, record and aggregate reconciliation, referential-integrity checks, duplicate and exception testing, cloud data migration testing, security and permission validation, business-process regression, cutover assurance and post-migration verification.

When should data migration testing begin?

Testing should begin while mappings, transformation rules, ownership and acceptance criteria are still being defined. Early QA involvement can expose unsupported data shapes, missing source fields, unclear business rules, environment constraints and reconciliation gaps before they become expensive cutover defects.

Do you provide cloud data migration testing?

Yes. We can test data moving to or between cloud platforms, data warehouses, SaaS applications, databases and modernised business systems. Coverage can include full-load and incremental movement, source-to-target reconciliation, security and access, performance, integrations, reports, change-data capture and post-cutover monitoring.

How do you validate large data volumes?

The approach depends on data criticality, volume, transformation complexity and available tooling. We combine automated record counts, control totals, checksums, field and relationship comparisons, rule-based queries, exception reports and targeted business sampling. The test strategy states where full-population validation is required and where risk-based sampling is appropriate.

How do you test data transformations and mapping rules?

We trace source fields and business rules to target structures, then test normal, boundary, null, duplicate, invalid and exceptional values. Results are compared with the approved mapping specification, and discrepancies are reported with source evidence, expected behaviour, target output and business impact.

Can IDS Logic test a migration delivered by another supplier?

Yes. We can provide independent assurance for migrations delivered by an internal team, cloud partner, software vendor, systems integrator or data specialist. Responsibilities, data access, defect workflows, evidence standards and decision rights are agreed at the outset so the testing remains objective and collaborative.

Can you support rehearsal migrations and cutover?

Yes. We can help define rehearsal scope, prepare validation packs, compare each migration run, track unresolved exceptions, verify timings, assess rollback readiness and support final cutover and hypercare. The objective is to replace assumptions with repeatable evidence before production data becomes authoritative.

What deliverables will we receive?

Depending on scope, deliverables can include a migration test strategy, risk and coverage matrix, data-quality baseline, source-to-target mapping checks, automated reconciliation scripts, exception and defect reports, rehearsal comparison reports, business validation evidence, cutover readiness assessment and a post-migration test completion report.

How much do data migration testing services cost?

Cost depends on the number of source and target systems, data volume, mapping complexity, historical records, integrations, migration waves, environments, security constraints, automation needs and required cutover support. IDS Logic provides a transparent scope and commercial proposal after reviewing the migration plan and priority risks.