Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required — Review data requirements →
Evidence asset

Before you start MRO data cleansing, diagnose the evidence.

MRO data cleansing should not start as a broad cleanup exercise. Buyers need to know which records create operational or financial exposure, which fields are missing, and which owners must review findings before source-system changes.

ChecklistBefore cleanup scope
CSV-firstNo integration required
Owner reviewNo blind merge
Industrial IQ source-data and field-mapping preview showing exported columns, mapped fields, and review status.
Data guidance is shown as a source-to-field map so technical reviewers can see what each diagnostic needs.
Evidence before action

Use public evidence assets before private upload.

These resources help buyers move from research to diagnostic readiness without unsupported claims or uncontrolled remediation.

Open Evidence Library
01 Frame the question Define whether the problem is catalog, inventory, procurement, finance, asset, reliability, readiness, or governance.
02 Prepare exports Use required fields and templates to understand source-fit before upload.
03 Inspect proof format Review sample reports, confidence tiers, limitations, and owner-action examples.
04 Run diagnostic Use the Snapshot or pilot path only when the operating question is specific.
Buyer utility

What this resource helps a committee decide.

Evaluation step

Start with the decision

Clarify whether the goal is SAP or Maximo migration readiness, duplicate spare-parts exposure, procurement leakage, inventory trust, AI readiness, or governance control.

Evaluation step

Prepare source exports

Item master, inventory, procurement, supplier, asset, BOM, work-order, and finance exports improve confidence. Missing fields should be visible as limitations, not hidden.

Evaluation step

Separate candidates from facts

Duplicate-looking records, obsolete candidates, false-stockout signals, and leakage signals require owner review before remediation.

Evaluation step

Define the cleanup boundary

Industrial IQ produces evidence and actions. ERP, EAM, CMMS, MDM, procurement, and maintenance owners decide what source-system remediation is approved.

Evidence boundary

Planning assets are not customer-specific proof.

Public calculators, sample reports, synthetic scenarios, and buyer guides help with evaluation. Customer-specific findings require uploaded source data, field mapping, confidence tiers, and human owner review before action.

Trust boundary: Industrial IQ diagnostics are read-only, produce reviewable evidence, and do not write back to ERP, EAM, CMMS, procurement, inventory, finance, or production systems.
Related assets

Continue the evidence path.

FAQ

Questions buyers should resolve before a pilot.

Should MRO data cleansing begin with ERP write-back?

No. Start with a read-only diagnostic, confidence tiers, and owner review. Source-system changes should happen only after approved remediation.

What fields should be prepared first?

Begin with material or item number, description, manufacturer, manufacturer part number, UOM, plant or site, quantity, unit cost, supplier, and movement context where available.

Does AI2COE cleanse records automatically?

No. Industrial IQ produces diagnostic evidence and review actions. Cleanup remains buyer-controlled.

Why run a diagnostic before cleansing?

It shows which records are material, which findings are high confidence, and where missing fields limit the cleanup case.

Resource guide

Use this page to prepare source files, proof review, and the next evidence step.

Resource review reduces friction: what data is needed, how reports look, how evidence is reviewed, and which route the buyer can take next.

Audience

Implementation leads, data owners, procurement reviewers, and product champions.

Evidence to prepare

Required fields, CSV templates, user manuals, buyer guides, sample reports, diagnostic scenarios, and trust controls.

Output

A prepared evaluation path that leads to sample proof, data templates, upload, or a scoped diagnostic discussion.

Trust boundary

Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.