Solutions
Data Migration
Move data between platforms with profiling, reconciliation, cutover planning, and a tested rollback, so the target system is trusted from the first day it is used.
Inside the delivery
Inspect keys, duplicates, missing values and records the target cannot represent directly. The flow below shows the main delivery stages and the evidence produced at each step.
Inspect keys, duplicates, missing values and records the target cannot represent directly.
Output
Source profile and exception inventory
Agree field mappings, transformations and treatment of incompatible records with business owners.
Output
Approved mapping and conversion scripts
Run rehearsals and compare counts, balances and representative business records.
Output
Reconciliation report and unresolved exceptions
Coordinate final changes, acceptance checks and the period in which recovery remains possible.
Output
Cutover checklist and recovery procedure
Controls across the workflow
Before you commit
Overview
Copying rows is the easy part. The work that decides whether a migration succeeds is profiling what the source actually contains, agreeing what to do with the records that do not fit the target model, and being able to show the business that the totals still reconcile after cutover.
Capabilities
Select the work that addresses your constraint. Responsibilities and acceptance criteria are agreed before delivery.
Establish what the source really contains, how much of it matters, and which records will not survive the target model without a decision.
Translate the source into the target model explicitly, with the business rules for defaults, merges, and exclusions written down and approved.
Prove the migration rather than declare it, using checks the business recognizes as well as technical row counts.
Plan the switch as an operational event with rehearsal, a defined window, a go and no-go decision, and a tested way back.
Integrations
Tools are chosen around your existing systems, access requirements and operating constraints.
Frequently asked questions
Only with explicit owner decisions. Some exceptions can be quarantined or corrected later; others invalidate reconciliation and should block cutover until resolved.
The moving is rarely the constraint. Timelines are driven by how much profiling and cleanup the source needs, how many downstream systems depend on it, and how much rehearsal the business requires before it will accept a cutover window.
Often, using an initial bulk load followed by delta catch-up and a short switch window. Whether that is worth the additional complexity depends on the cost of the outage to the business, which we size before committing to an approach.
They are surfaced during profiling and handled by an explicit decision: cleanse, merge, default, migrate to an exception area, or leave behind with an archive. That decision is the business owner's, not a silent technical one.
Through reconciliation agreed in advance: row counts and control totals for the technical view, plus business-level checks such as balances, statuses, or period totals that the owning team already trusts and reviews.
Retention, archive, and decommission are planned as part of the migration. Leaving the source running indefinitely is a common way migrations fail to deliver the saving that justified them.
Source and target schemas, sample records, data volumes, quality issues, write patterns and the permitted cutover window.
The agreed delivery includes cutover checklist and recovery procedure. Coordinate final changes, acceptance checks and the period in which recovery remains possible.
We review the available inputs before estimating: Source and target schemas, sample records, data volumes, quality issues, write patterns and the permitted cutover window. The proposal identifies dependencies, review milestones and excluded work; the scope determines the schedule.
Related
Start a conversation
Share your current situation and the constraint you need to resolve. We will use the discovery inputs above to define a practical scope for Data Migration.