Industrial master data problems all come from the same cause

Whether it's procurement failures,unreliable maintenance records, or an AI initiative that can't get off theground, the underlying problem is almost always the same. Does any of thissound familiar?

Your EAM has been live foryears, but your team still can't trust the data it produces.

Your AI or predictivemaintenance initiative is stalled because the data isn't structured well enoughto support it.

Different sites, plants, orvessels all manage their data differently — and nothing is consistent.

You know something needs tobe done, but you're not sure where to start or what it will cost.

You've invested in EAM orCMMS upgrades, but the underlying data quality hasn't improved.

MDM is not a one-time project, it's a discipline

MDM covers the full lifecycle ofyour industrial data — from understanding the current state, through cleansing and enriching existing records, building new ones correctly from the start, migrating data between systems, and setting up the governance that keeps quality from degrading over time. Sharecat Data Services provides all of these services as acoordinated capability, not as disconnected one-off fixes.

WHAT YOU GET

A master data foundation that supports every part of your operation

A clear picture before you invest

Every engagement starts with anassessment — so you know exactly what you're dealing with and what fixing it isworth before committing to a scope.

Data that works across systems

Delivered in the format your CMMS or EAM requires — SAP, Maximo, IFS, STAR, or any other system — with fulldocumentation of every change.

A prioritised roadmap, not everything at once

We help you sequence dataimprovements in order of operational impact, so early wins fund and justify thenext phase.

Quality that lasts

With governance structures in place, the data you invest in stays correct — protecting your investment and preventing the cycle of repeated fixes.

Master data management (MDM) includes:

Data Analysis & Assessment — understand the scale and cost of your data problems before you act

Data Standardisation —apply UNSPSC, eClass, CFIHOS, or your internal classification standard

Data Cleansing — find andfix errors, duplicates, and inconsistencies in existing records

Data Migration — move datato a new EAM or CMMS, clean and complete before go-live

Data Enrichment — addwhat's missing: manufacturer data, part numbers, technical attributes

Data Governance — set upthe ownership and processes that sustain quality over time

Data Standards advisory — understand and apply the standards that govern your sector

Data Cataloging — build astructured master database from scratch, correctly from day one

Bill of Material & Spare Parts — process supplier documents into structured, EAM -ready records

Asset Hierarchies — buildor restructure the equipment hierarchy your EAM system depends on

Our 5-step enrichment process

1

Assessment

We analyse your current datastate: completeness, accuracy, standards compliance, and cost impact. This gives you a clear picture before any investment is made.

2

Strategy

We define the right mix ofservices for your situation and agree a prioritised roadmap — so you fix theright things first, in the right order, within your budget and timeline.

3

Execution

Our specialist team delivers theagreed scope, using proprietary tooling and a reference database of over onemillion verified equipment and parts records.

4

Validation

All delivered data is validated before handover. Every change is logged and traceable. You receive a full report of what was done, what changed, and what sources were used.