Services
Data migration
Data is the part of a migration that nobody wants to own and everybody notices. We treat it as a workstream with its own plan, cycles and sign-off, starting in the first month.
What organizations bring us
Source data reflects years of workarounds: duplicated customers, free-text fields used for structured data, inconsistent codes, orphan records. The target system validates data the old system never checked. The result is thousands of load errors that appear only when loading starts.
We profile early, agree cleansing rules with data owners, build repeatable extraction and load, and run several cycles with reconciliation. By the final cycle, counts and values match and the team knows how long cutover takes.
What the platform covers
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Profiling and assessment
Find duplicates, gaps, invalid values and orphans before design.
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Cleansing and enrichment
Rules agreed with data owners, applied in code, tracked in a log.
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Mapping and transformation
Source-to-target specifications, code translation and derivations.
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Loading
Platform-native tools and APIs: FBDI, HDL, Migration Cockpit, Data Loader, EIB, Dataverse and custom ETL.
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Reconciliation
Counts, balances and sample checks by object and cycle.
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Archiving and retention
Decide what history stays online and what moves to archive.
How a project runs
- 1
Scope and profile
Decide objects and look at the data.
- 2
Design
Mapping, cleansing rules, load order and reconciliation measures.
- 3
Build
Extraction, transformation and load programs.
- 4
Rehearse
Several cycles, each measured and reconciled.
- 5
Sign off
Business owners approve each object.
- 6
Cut over
Final load, validation and go or no-go.
What you receive
- Migration strategy and scope
- Profiling reports
- Mapping specifications
- Cleansing rules log
- Reconciliation reports per cycle
- Cutover runbook
Questions people ask
How much history should we migrate?
As little as the business needs. Open items, balances and a limited history are common. Older records can stay in an archive.
Who owns data quality?
Business data owners. We run the process and provide the tools. Their sign-off is a gate in the plan.
Related
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Implementations and migrations
How we take responsibility for complex transformation programs: twelve migration types, a seven-stage method and the deliverables you receive at each stage.
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Oracle data migration
Extract, map, validate, load and reconcile legacy and EBS data into Fusion using FBDI and HDL, with balance-level proof at every cycle.
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ERP implementation
SAP, Oracle, Dynamics 365 and Workday implementations covering design, configuration, data migration, integration, testing and hypercare.
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