DATA MIGRATION
Clean, validated transitions between safety systems.
Every migration validated for data accuracy and integrity, start to finish — from business requirements through final verification.
Discuss a migration assessmentSCALE AND COVERAGE
17M+cases in a single migration programme
12
Qualification
steps
steps
4
Phases,
start to finish
start to finish
COVERAGEE2B and non-E2BDatabase to databaseHistorical and deltaCross-platformStructured and unstructured
HOW A MIGRATION IS CONTROLLED
A minute on what keeps a migration complete and defensible.
Where a safety migration actually goes wrong — licences and codelists that do not line up, anomalies that travel with the load, evidence that comes loose from its case — and the control that answers each one, from the first extract to the final reconciliation.
How a migration runs
Everything that has to arrive, and the twelve steps that prove it did.
Cases rarely live in one place, and a migration rarely fails loudly — it fails in the fields nobody checked. Most of the work is proving that what arrived is what left.
Sources
Safety systems
Argus · ARISg / IRT · LSMV · clinical safety
Structured sources
E2B XML · databases · CSV · flat files
Unstructured sources
Documents · attachments · PDFs · narratives
Business transitions
Acquisition · divestiture · carve-out
›
The run · twelve steps
Assess01–03
Plan and qualify04–06
Prove it07–09
Cut over and close10–12
›
Target
Safety platform
Validated · reconciled · traceable
CompleteAccurateReconciledTraceableValidatedAudit-ready
CoverageE2B and non-E2BDatabase to databaseHistorical and deltaCross-platformStructured and unstructured
Phase 1
Assess
01
Impact assessment
Systems, interfaces, downstream impact and risk.
02
Requirements
Scope, objects, history, exclusions, acceptance criteria.
03
Profiling and mapping
Data quality, and source-to-target transformation rules.
Phase 2
Plan and qualify
04
Migration plan
Strategy, ownership, timeline, cutover and rollback.
05
Qualification
Extraction, transformation and loading logic qualified.
06
Mock run and testing
Scripts, mappings, volume and performance validated.
Phase 3
Prove it
07
Reconciliation
Record counts, field accuracy, relationships, exceptions.
08
Traceability
Requirement to mapping to test to evidence to approval.
09
Defect management
Root cause, remediation, retest and closure.
Phase 4
Cut over and close
10
Cutover planning
Sequenced to hold business downtime to a minimum.
11
Post-migration verification
Data, workflows, interfaces and reporting.
12
Sign-off and closure
Qualification summary, evidence, approval, closure.
What the run is guarding against
Values that no longer decode
Caught in Phase 1 · profiling and mapping
Legacy coded values with no target equivalent land as blanks or as the wrong term. Mapping is agreed field by field, in writing, before anything moves.
Attachments left behind
Caught in Phase 1 · scope and requirements
Documents and source records live outside the case tables and are easy to omit. They are counted in the reconciliation like any other object.
Counts that match while content does not
Caught in Phase 3 · reconciliation
Record totals can reconcile while fields inside them are wrong. Reconciliation covers field accuracy and relationships, not just how many rows arrived.
COVERAGE AND SCALE
From one product to a whole portfolio.
The method does not change with size. What changes is how long each step takes.
SYSTEMSArgus SafetyARISg / IRTLSMVClinical safetyIn-house databases
DATAE2B(R2)E2B(R3)Non-E2BStructuredUnstructuredAttachments
DRIVERSPlatform changeAcquisitionDivestitureCarve-outConsolidation
WHAT’S INCLUDED
Argus, ARISg, LSMV & clinical safety systems
E2B and non-E2B migration
Acquisition & divestiture support
Structured and non-structured data sources
Data transfer plan
Data pre-processing & transformation
Business requirements discussion
Data accuracy & integrity validation
Data verification utility
Planning a migration?
Talk to us about scope, validation, and how we prove nothing was lost on the way across.
Discuss a migration assessmentCONTACT
© 2020–2026 Merakee BI Analytics Ltd.
Mississauga, Ontario, Canada
DATA MIGRATION
Clean, validated transitions between safety systems.
Every migration validated for data accuracy and integrity, start to finish — from business requirements through final verification.
Discuss a migration assessmentSCALE AND COVERAGE
17M+cases in a single migration programme
12
Qualification
steps
steps
4
Phases,
start to finish
start to finish
COVERAGEE2B and non-E2BDatabase to databaseHistorical and deltaCross-platformStructured and unstructured
HOW A MIGRATION IS CONTROLLED
A minute on what keeps a migration complete and defensible.
Where a safety migration actually goes wrong — licences and codelists that do not line up, anomalies that travel with the load, evidence that comes loose from its case — and the control that answers each one, from the first extract to the final reconciliation.
How a migration runs
Everything that has to arrive, and the twelve steps that prove it did.
Cases rarely live in one place, and a migration rarely fails loudly — it fails in the fields nobody checked. Most of the work is proving that what arrived is what left.
Sources
Safety systems
Argus · ARISg / IRT · LSMV · clinical safety
Structured sources
E2B XML · databases · CSV · flat files
Unstructured sources
Documents · attachments · PDFs · narratives
Business transitions
Acquisition · divestiture · carve-out
›
The run · twelve steps
Assess01–03
Plan and qualify04–06
Prove it07–09
Cut over and close10–12
›
Target
Safety platform
Validated · reconciled · traceable
CompleteAccurateReconciledTraceableValidatedAudit-ready
CoverageE2B and non-E2BDatabase to databaseHistorical and deltaCross-platformStructured and unstructured
Phase 1
Assess
01
Impact assessment
Systems, interfaces, downstream impact and risk.
02
Requirements
Scope, objects, history, exclusions, acceptance criteria.
03
Profiling and mapping
Data quality, and source-to-target transformation rules.
Phase 2
Plan and qualify
04
Migration plan
Strategy, ownership, timeline, cutover and rollback.
05
Qualification
Extraction, transformation and loading logic qualified.
06
Mock run and testing
Scripts, mappings, volume and performance validated.
Phase 3
Prove it
07
Reconciliation
Record counts, field accuracy, relationships, exceptions.
08
Traceability
Requirement to mapping to test to evidence to approval.
09
Defect management
Root cause, remediation, retest and closure.
Phase 4
Cut over and close
10
Cutover planning
Sequenced to hold business downtime to a minimum.
11
Post-migration verification
Data, workflows, interfaces and reporting.
12
Sign-off and closure
Qualification summary, evidence, approval, closure.
What the run is guarding against
Values that no longer decode
Caught in Phase 1 · profiling and mapping
Legacy coded values with no target equivalent land as blanks or as the wrong term. Mapping is agreed field by field, in writing, before anything moves.
Attachments left behind
Caught in Phase 1 · scope and requirements
Documents and source records live outside the case tables and are easy to omit. They are counted in the reconciliation like any other object.
Counts that match while content does not
Caught in Phase 3 · reconciliation
Record totals can reconcile while fields inside them are wrong. Reconciliation covers field accuracy and relationships, not just how many rows arrived.
COVERAGE AND SCALE
From one product to a whole portfolio.
The method does not change with size. What changes is how long each step takes.
SYSTEMSArgus SafetyARISg / IRTLSMVClinical safetyIn-house databases
DATAE2B(R2)E2B(R3)Non-E2BStructuredUnstructuredAttachments
DRIVERSPlatform changeAcquisitionDivestitureCarve-outConsolidation
WHAT’S INCLUDED
Argus, ARISg, LSMV & clinical safety systems
E2B and non-E2B migration
Acquisition & divestiture support
Structured and non-structured data sources
Data transfer plan
Data pre-processing & transformation
Business requirements discussion
Data accuracy & integrity validation
Data verification utility
Planning a migration?
Talk to us about scope, validation, and how we prove nothing was lost on the way across.
Discuss a migration assessmentCONTACT
© 2020–2026 Merakee BI Analytics Ltd.
Mississauga, Ontario, Canada