Data migration
Data migration that lets the new Maximo start trustworthy
Most Maximo programmes that lose user trust lose it on day one because the data was wrong. We treat data migration as a programme outcome, with assessment, repeatable pipelines, dry-runs and reconciliation that the business signs off on.
We migrate asset, location, work, inventory, PM and history data into IBM Maximo Application Suite from SAP PM, Oracle eAM, legacy Maximo, IFS, in-house ERP modules and spreadsheets. The hard part is almost never the technology. It is deciding what to keep, what to fix, and what to retire, and then proving the result is correct.
How we run a Maximo data migration
- Assessment: quantify completeness, accuracy and conformity in the source. Surface the decisions your business owners need to make.
- Mapping and cleansing rules: agreed in writing, with named owners.
- Repeatable ETL pipelines: we run them dozens of times, not once. Every dry-run produces the same reconciliation report.
- Validation scripts: SQL and application-level checks that prove what loaded matches what was intended.
- Dry-runs in a representative environment: at least two before go-live, signed off by the business.
- Cutover as a runbook: defined steps and defined rollback.
What this connects to
Data migration sits at the centre of any new Maximo implementation, every Maximo to MAS upgrade, and most integration programmes. We sequence it so the data is right before mobile and integrations depend on it.
Recent example
The UK building materials group case study describes a SAP PM to Maximo migration across multiple business units, with the Ireland cloud transition delivered in under three months.
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Frequently asked questions
- What does a Maximo data migration include?
- A full migration covers assessment of source data quality, mapping to Maximo data structures, cleansing rules, ETL pipelines, validation scripts, dry-runs, reconciliation reporting, and the cutover plan including rollback. We treat data quality as a programme outcome, not a configuration step.
- Which source systems do you migrate from?
- In production we have migrated from SAP PM, Oracle eAM, IBM Maximo 5.x, 6.x and 7.6.x, IFS, in-house ERP modules, spreadsheets and CMMS tools. The hardest part is rarely the source system, it is the historic data quality and the decisions about what to keep.
- How do you handle bad source data?
- We measure it before we touch it. A short data assessment quantifies completeness, accuracy and conformity, and produces a clear list of decisions you and your business owners need to make: what to clean, what to retire, what to leave alone. Then we build the rules and report on every load.
- Can you migrate work history, attachments and inventory?
- Yes, and we usually recommend treating each as a separate workstream with its own acceptance criteria. Work history rarely needs to be 100% complete to be useful; attachments and inventory often have more legal and operational risk than masters and need more care.
- How do you de-risk cutover?
- We dry-run the entire migration in a representative environment at least twice before go-live, with reconciliation reports the business signs off on. Cutover itself is a runbook, not a meeting, and includes a defined rollback path.
Make sure your new Maximo starts with data the business trusts
Tell us what your source systems are and what you are trying to migrate. We will tell you what is realistic, what the risks are, and what a sensible migration plan looks like.
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