MaxIron Data Governance
Controlled master-data change for IBM Maximo Manage
Give each asset, location or item change a named owner. Approvers review the exact proposed values before a checked Maximo update. This live product is configured and qualified against the customer environment.
Review one governed changeChoose by need
Choose the control that matches the work
Bulk operations, formal master-data approval and software promotion are separate jobs.
Query or change Maximo records in bulk
Data LoaderPrepare, validate, run and review row-level outcomes.
Approve formal master-data changes
Data GovernanceUse maker-checker, a frozen revision and a stale record check.
Approve software or configuration promotion
Change ControlRecord the decision before a tested change moves to production.
Product capabilities
Review proposed values before they reach Maximo.
Guided Maximo forms and controlled workbooks follow the same governed request.
- Prepare a request with a named owner
- A data steward uses guided Maximo forms or controlled workbooks to propose individual or bulk changes. Current, before and proposed values remain visible while live Maximo data stays unchanged.
- Approve the values that will be applied
- Policy-driven approval routes the request to the configured approvers. Submission freezes the revision and its hash. Maker-checker prevents the requestor or a payload editor from approving it.
- Apply and confirm the outcome
- A stale record check stops an approved proposal from overwriting newer data. Supported Maximo services apply the accepted revision, then reconciliation records the confirmed values and evidence.
Who uses it: data stewards prepare requests, asset and location owners review proposed values, approvers sign the frozen revision, and audit teams retrieve the evidence.
Keep changes accountable as asset information evolves.
An asset, location or item update can affect work well beyond the person making it. Data Governance gives your team a controlled request, an exact revision to approve and evidence of the checked update. Reviewers can see what is changing, who authorised it and what happened in Maximo.
See the approval workflowCustomer value
Approvers see the exact values they are signing.
The approval view keeps the business reason, before and proposed values, validation, revision hash and earlier decisions together. A material amendment creates a new revision and repeats the required review.
Qualification case
One governed asset amendment
Qualification uses one controlled field to test whether the proposal, approval and final Maximo value remain part of the same evidence chain.
This is a qualification demonstration against representative work, not a named customer result. Anonymised customer engagements and reference conversations under NDA sit in the case studies.
What we walk through
- Prepare the before and proposed values in one owned request.
- Validate the request and route its frozen revision to a separate approver.
- Check for a stale source record before applying the accepted revision in test.
Pass condition
Pass when the confirmed Maximo value, proposal, decision and execution record remain together, and a stale source record stops the write.
Evidence retained: Revision hash, validation, approval identity, execution result and target-level reconciliation.
Boundary that remains: The product stays within qualified data packs, approved write paths and customer-configured governance.
Buying information
How Data Governance is sold and introduced
The live product is configured through qualification of the target environment, initial data scope and governance controls. We review one request with its named owner against your approval policy before agreeing the engagement.
Review one governed change- Price
- Quote on request.
- Pricing basis
- Qualified data packs, governed scope and customer deployment.
- Status
- Live product, configured and validated for each customer environment.
- Compatibility
- IBM MAS 9.1 Manage, with the target release and supported Maximo services confirmed during qualification.
- Deployment and adoption
- Configured and validated for the customer Maximo environment before production use.
Defined scope
Product boundaries
The product stays within qualified data packs, approved write paths and customer-configured governance.
Qualified data packs define scope
The product does not expose arbitrary Maximo objects. Each supported data type requires a qualified pack covering fields, rules, dependencies, execution behaviour and tested limits.
Customer controls require validation
Enabled packs, sites, governed fields, risk rules, approver groups, signatures and retention are agreed and validated for the customer environment.
Completed writes are not reversed automatically
A concurrency conflict stops execution for review. Corrective work after a completed write follows a separate governed request.
Questions buyers ask
What is the status of Data Governance?
It is a live MaxIron product delivered through a product engagement. Each data pack and customer deployment is qualified and validated against the target Maximo environment.
How is this different from Data Loader?
Data Loader handles operational bulk query, create, update, sync and delete work. Data Governance controls formal master-data change through staged values, a frozen hashed revision, maker-checker, stale record protection and retained evidence.
Does approval apply to a moving draft?
No. Submission freezes the exact revision and records its hash. A later material amendment creates another revision and repeats the required validation and approval route.
Review one governed master-data process
Use one proposed change to assess the fields, ownership, approval policy, stale record check and evidence required for your environment.
Bring this to the first call
- The Asset, Location or Item process being considered first
- The current request and approval route
- The target MAS 9.1 Manage environment