The MRO Data Quality Problem in Oil & Gas

What this whitepaper covers

The MRO Data Quality Problem in Oil & Gas Operations

A quantified view of duplicate spare-parts records, working-capital exposure, and governed diagnostic sequencing for upstream, midstream, and downstream operators. Covers SAP, Maximo, and Oracle catalog patterns.

MROERPCapital at riskGovernanceTurnaround

This paper frames the executive case for a diagnostic-first approach in Oil & Gas. After reading it, the logical next step is running a PartsCleanse AI diagnostic on your own catalog to produce your organisation's actual figures -- not industry benchmarks. Open the workbench →

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Executive reading model

What the paper helps a leadership team decide.

This whitepaper is not a generic thought piece. It is designed to help Oil & Gas leaders decide whether MRO data quality is a finance issue, an operations issue, an ERP-governance issue, or all three at once.

The recommended use is simple: circulate the paper before an internal data-quality discussion, agree the risk language, then replace benchmark assumptions with a PartsCleanse AI diagnostic using the organization’s own catalog export.

For enterprise buyers, the page states the operating relationship clearly: Industrial IQ is the AI2COE platform, PartsCleanse AI is the anchor diagnostic product, and this resource belongs to the MRO catalog quality and AI adoption evidence system.

Who should read it

VP OperationsUse this paper to frame the decision, align stakeholders, and define the diagnostic question before the upload.

Reliability DirectorUse this paper to frame the decision, align stakeholders, and define the diagnostic question before the upload.

Procurement ManagerUse this paper to frame the decision, align stakeholders, and define the diagnostic question before the upload.

CFOUse this paper to frame the decision, align stakeholders, and define the diagnostic question before the upload.

Authority map

Topics covered and how they convert into diagnostic evidence.

Topic	Diagnostic relevance
MRO	Evidence requirement, business implication, and owner-review action for Oil & Gas teams.
ERP	Evidence requirement, business implication, and owner-review action for Oil & Gas teams.
Capital at risk	Evidence requirement, business implication, and owner-review action for Oil & Gas teams.
Governance	Evidence requirement, business implication, and owner-review action for Oil & Gas teams.
Turnaround	Evidence requirement, business implication, and owner-review action for Oil & Gas teams.

Benchmark discipline: Research pages explain the operating thesis. Diagnostic reports replace assumptions with uploaded-catalog evidence and preserve the no-write-back, source-purge posture.