What is MRO data cleansing?

MRO data cleansing is the process of finding and fixing errors in the data that already exists in your ERP or CMMS system — duplicates, incorrect descriptions, wrong part numbers, broken references, and any other deviation from the standard your data should meet.

What is the difference between data cleansing and data enrichment?

Data cleansing finds and fixes errors in existing records — duplicates, wrong entries, inconsistencies. Data enrichment adds missing information to records that are correct but incomplete. Both are often needed, but they address different problems.

What systems does Sharecat cleanse data for?

Sharecat delivers cleansed data in the format required by your ERP or CMMS system, including SAP, Maximo, IFS, and Oracle. Every change is logged and traceable, with a full before-and-after report delivered alongside the cleansed data.

Does Sharecat offer a data quality assessment before starting?

Yes. Sharecat offers a free initial data quality assessment — a statistical overview of errors, inconsistencies, and gaps in your data — so you can understand the scale of the problem before committing to a full cleansing project.

Services / MRO Data Cleansing Services

Your data is holding you back. Let's fix that

Sharecat Data Services finds every error, inconsistency, and anomaly in your industrial master data — and fixes it, so your ERP and CMMS systems can finally deliver the value they were designed for.

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30 years experience ✓

Guaranteed delivery ✓

Industrial specialists ✓

Flexible scope ✓

Company Specific ✓

Any standard ✓

DOES THIS SOUND FAMILIAR?

Most industrial operators know their data isn't perfect

But the real scale of the problem, and what it's costing, often isn't visible until it's too late. Does any of this sound familiar?

Your procurement team can't order directly from OEMs because part number data is wrong or missing.

You've migrated to a new ERP and the oldproblems came with you.

You have multiple records for the same item —described differently, in different locations, with different prices.

Your ERP system has automation capabilities you can't use because the data isn't consistent enough.

Your maintenance team doesn't trust theequipment data in the CMMS, so they verify everything manually.

You're preparing for a regulatory audit andyou know the data won't stand up to scrutiny.

WHAT WE DO

Data cleansing is the process of finding and fixing errors in the MRO and master data that already exists

... in your ERP or CMMS system. It covers duplicates, incorrect descriptions, wrong field entries, broken references, and any other deviation from the standard your data should meet. Sharecat's approach combines specialist industrial knowledge with proprietary tools — identifying errors that generic providers miss, and fixing them correctly the first time.

From experience: approximately 40% of items in a typical industrial ERP system are missing key information, and many more contain outright errors.

WHATS INCLUDED

The service includes:

Identification of all duplicates; items described in multiple ways across the system

Unit price and unit of measure validation

Description normalisation; consistent short text and long text formats applied

Reference and link validation; documents, functional locations, tags

Manufacturer name verification and correction against Sharecat Data Services' normalised supplier database

Classification review and correction

Part number validation, distinguishing correct part numbers from model numbers and other incorrect entries

Delivery of cleansed data with a full report of changes made

Our 5-step cleansing process

Our cleansing process, optimised over 30 years, is systematic, transparent, and designed to prioritise the fixes that deliver the greatest operational impact.

1

Configuration and assessment

We review your data structure, standards, and system requirements. We configure our tools to your specific environment and agree on the target state — what 'correct' looks like for your data.

2

Load and validate

We load your data into our proprietary processing platform across SAP, Maximo, IFS, or Oracle environments. Our system compares each record against your defined standards and our internal reference sources, including a database of over one million verified equipment and parts records.

3

Identify and prioritiseerrors

We produce a detailed statistical overview of your data quality — every error, inconsistency, and anomaly, categorised and quantified. We work with you to prioritise the fixes that will deliver the most operational value.

4

Cleanse and correct

Our team of subject matter experts works through the prioritised error list, correcting data methodically. Every change is logged and traceable.

5

Validate and deliver

Cleansed data is validated before delivery. You receive a full report of changes made, including before-and-after comparisons for key fields.

WHAT YOU GET

The impact of clean data is felt immediately and compounds over time

Procurement you can automate

With correct manufacturer names and part numbers, your ERP can route purchase orders directly to OEMs. Saving up to 90% of the time and cost in procurement processes.

A global view of your stock

With duplicates removed and items uniquely identified, you can see exactly what you have, where it is, and how much it costs, across every site and facility.

Maintenance systems that work as intended

Your maintenance team can trust what they see in the CMMS. Work orders, equipment records, and spare parts lists are reliable.

A foundation for AI and analytics

Clean data is the prerequisite for predictive maintenance, advanced analytics, and AI-powered tools. Without it, AI-investments cannot deliver their potential.