Master & Reference Data Management

Build Material Master Data Your Operations Can Trust

Define, cleanse, govern and operationalise material records across procurement, planning, production, inventory, maintenance, costing and logistics. DataConsultant connects material definitions, quality rules, duplicate control, ownership, workflow and platform implementation so trusted records can be maintained after the project ends.

Critical attributes, naming and classification standards

Duplicate analysis, quality rules and remediation backlog

Create-change-retire governance and stewardship workflows

ERP, MDM and migration-ready implementation guidance

Discuss Your Material Data Requirement → Review Service Scope

Scope, platform configuration, record volumes and remediation depth are confirmed during discovery. No client result, timeline or price is implied by the illustrative operating view.

Illustrative Material Master Control View

One governed record, many operational uses

Controlled

Industrial Pump AssemblyIllustrative record · Material domain

Approved

IdentifierMAT-000842

Base unitEA · Each

ClassificationMechanical Equipment

Lifecycle stateActive

Critical dimensionsValidated specification

OwnershipOperations + Data Steward

01RequestBusiness need & source evidence

02ValidateStandards, rules & duplicate check

03ApproveOwner and steward decisions

04DistributeERP, MDM and downstream systems

05MonitorExceptions, ageing and change control

Fewer Duplicate Materials

Use similarity rules, ownership and review workflows to reduce uncontrolled record creation.

Consistent Operational Attributes

Standardise identifiers, descriptions, units, classifications and critical values by material type.

Clear Create & Change Governance

Define decision rights, approvals, stewardship, evidence and exception handling.

Safer Migration & Integration

Prepare trusted material records, mappings, validation rules and acceptance criteria for target systems.

Direct answer

What Material Master Data Management Does

Material master data management creates a governed way to identify, describe, classify, approve, maintain, distribute and retire the relatively stable records that operational systems use to understand materials. The exact model varies by industry and platform, but the discipline connects business definitions, system structures, data quality, lifecycle controls and accountable ownership.

For manufacturers and asset-intensive organisations, material records can influence purchasing, production planning, inventory, maintenance, warehousing, logistics, costing, trade data and reporting. For distributors and retailers, item and material structures may also connect with product, assortment and supplier data.

Important: Material master improvement is not only a cleansing exercise. If create and change controls remain weak, duplicates and inconsistent attributes can quickly return after remediation.

Duplicate and Near-Duplicate Records

Similar descriptions, supplier part numbers, units or classifications create multiple records for the same or equivalent material, increasing search, procurement and reconciliation effort.

Inconsistent Attributes Across Plants

Material descriptions, units, status, dimensions, planning values or local extensions differ without clear business rules or ownership.

Unclear Creation and Approval Rights

Requests arrive through email, spreadsheets or local processes, and teams cannot show who is accountable for approval, exception or retirement decisions.

Migration Defects and Failed Transactions

Target systems reject, misclassify or duplicate materials because source values, reference lists, relationships or mappings are incomplete or inconsistent.

Stop Fixing Material Records One Transaction at a Time

Review the material domain, duplicate drivers, business rules and ownership model before launching another bulk clean-up. A focused assessment can identify which issues need data correction, process change, governance or platform work.

Request a Material Data Assessment →

Service scope

Material Master Data Capabilities from Definition to Control

Scope can be a targeted improvement for one material population or a broader programme spanning governance, remediation, migration, MDM and ongoing control.

Domain & Data Model Design

Clarify what belongs in the material domain and define the minimum information required for reliable business use.

Material types and domain boundaries
Critical attributes and definitions
Organisational-level requirements
Reference-data dependencies

Naming, Units & Classification Standards

Define maintainable conventions for material descriptions, codes, units, hierarchies and classifications.

Short and long descriptions
Units of measure
Category and class structures
Controlled reference values

Profiling, Duplicate & Quality Analysis

Assess completeness, validity, consistency, uniqueness and structural integrity against approved rules.

Record profiling
Similarity and duplicate candidates
Rule and exception catalogue
Root-cause segmentation

Ownership, Stewardship & Workflow

Translate policy into practical request, validation, approval, change, exception and retirement processes.

RACI and decision rights
Create-change-retire workflow
Escalation and exceptions
Governance cadence and evidence

Remediation & Migration Readiness

Plan controlled correction, mapping, consolidation and source-to-target validation without hiding unresolved uncertainty.

Remediation backlog
Merge and retirement rules
Source-to-target mapping
Acceptance and reconciliation controls

Platform & Operating Implementation

Align ERP, MDM, data-quality, workflow, integration and monitoring capabilities with the governance model.

Platform requirements
Workflow configuration guidance
Integration and syndication
Monitoring and handover

Material data blueprint

Define the Material Data Model Before Cleansing at Scale

A remediation programme is easier to govern when teams agree which attributes are authoritative, which vary by organisational level, which references are controlled, and which exceptions need human decisions.

Illustrative attribute architecture

Actual fields, ownership, mandatory status and organisational levels depend on platform configuration and business process.

Identity & Description

Material identifier
Short / long description
Material type
Manufacturer reference

Classification & Units

Category / class
Base unit of measure
Alternative units
Controlled code values

Physical & Lifecycle

Dimensions / weight
Storage handling
Lifecycle status
Effective dates

Operational Extensions

Procurement attributes
Planning attributes
Plant / site data
Valuation references

Approved standardsValidation rulesWorkflow decisionsMonitoring evidence

Need a Governed Material Model for ERP, MDM or Migration?

Share the material types, source systems, target platform, classification structures and recurring defects. DataConsultant can help define a practical attribute model, ownership rules and migration controls before build or conversion accelerates.

Discuss Your Target-State Design →

Suitability & use cases

Where Material Master Data Work Creates the Most Value

The right intervention depends on the business impact, record population, process ownership, current systems and whether the primary need is assessment, remediation, migration, governance or implementation.

Good fit

Common situations where a structured material master engagement is appropriate.

Duplicate or inconsistent materials affect procurement, inventory, planning or production
Multiple plants, business units or ERP instances use conflicting material standards
ERP, MDM, cloud or data-platform migration needs controlled source data
Material creation and change responsibilities are unclear or poorly evidenced
Classification, descriptions, units or lifecycle status are not consistently governed
Teams are ready to provide representative data and accountable process owners

May not be the right fit

A narrower or different intervention can be more appropriate in these cases.

Only one isolated record correction is required
The primary requirement is a permanent internal role rather than consulting support
A licensed legal opinion, statutory audit or certification is the core need
A proprietary vendor configuration must be performed exclusively by another authorised party
No representative data, system context or accountable business stakeholder can be provided
A broader enterprise transformation must be defined before material scope can be decided

Use case 01

ERP Consolidation

Harmonise material definitions, units, classifications and duplicates before moving records from multiple legacy systems into a target ERP.

Use case 02

Material Creation Control

Replace fragmented email or spreadsheet requests with documented validation, duplicate checks, approvals, exceptions and evidence.

Use case 03

MRO Spare-Part Rationalisation

Improve naming, manufacturer references, classification and duplicate visibility for maintenance and spare-part records.

Use case 04

Multi-Plant Harmonisation

Separate enterprise-wide attributes from plant-specific values and define controlled extension rules across sites.

Use case 05

Supply Chain Data Quality

Connect material attributes with supplier, inventory, order and planning controls that rely on consistent operational definitions.

Use case 06

MDM Platform Enablement

Translate business requirements into stewardship, survivorship, workflow, integration and monitoring capabilities for an MDM implementation.

Deliverables & engagement options

Outputs Designed for Decisions, Build and Operational Handover

Deliverables are selected for the decisions and implementation stages in scope. A focused assessment does not need the same artefacts as a full remediation and MDM implementation programme.

Typical deliverables

01
Current-state material master assessment
02
Material domain and critical-attribute register
03
Data dictionary and business definitions
04
Naming, unit and classification standards
05
Data quality rule and exception catalogue
06
Duplicate and similarity analysis findings
07
Ownership, stewardship and RACI model
08
Create-change-retire workflow design
09
Control matrix and approval evidence model
10
Remediation and prioritised backlog
11
Migration mappings and acceptance criteria
12
Monitoring specification and operating runbook

Engagement options

Focused assessment

Evidence review, profiling, stakeholder workshops, priority findings and a practical improvement plan.

Decision support

Design & governance programme

Target data model, standards, ownership, workflows, controls, metrics and implementation backlog.

Operating model

Remediation & migration support

Rule execution, duplicate review, cleansing coordination, mapping, validation, reconciliation and cutover evidence.

Implementation

Build-operate-transfer or ongoing support

Workflow, monitoring, issue management, stewardship reporting and knowledge transfer can be scoped where required.

Operationalisation

Operating model

Govern Material Decisions at the Point They Are Made

A sustainable material master service needs clear accountability for definitions, request validation, duplicate decisions, local extensions, exceptions, retirement and monitoring.

Material Data OwnerAccountable for domain policy, critical definitions, risk decisions and unresolved cross-functional issues.

Material Data StewardValidates requests, applies standards, reviews duplicate candidates, manages exceptions and maintains evidence.

Process OwnersProcurement, production, maintenance, supply chain, finance and other functions approve business requirements relevant to their use.

Platform & Integration TeamsImplement workflows, validations, interfaces, role access, migration logic, monitoring and controlled releases.

Create, change and retire with evidence

Illustrative operating workflow. Decision rights and controls are tailored to material type, risk, system architecture and organisational model.

01 RequestCapture business purpose and evidenceMaterial type, description, source documentation, required sites, requester and urgency.

02 ValidateApply standards and duplicate checksMandatory fields, units, classification, references, similar records and policy rules.

03 ApproveRoute material decisions to accountable rolesStandard approvals, exceptions, risk decisions and local or plant extensions.

04 PublishCreate or update authoritative recordsMDM or ERP update, integrations, downstream distribution and audit evidence.

05 MonitorMeasure quality, ageing and recurrenceFailed controls, duplicate trends, incomplete attributes, rejected transactions and overdue actions.

06 RetireControl obsolescence and replacementUsage review, replacement references, block status, retention needs and downstream impact.

Turn Material Governance Design into an Operating Workflow

Define who can request, validate, approve, extend, merge, change and retire material records—and connect those decisions to platform controls, exception queues, evidence and monitoring.

Discuss Ownership & Workflow →

Technology, standards & controls

Work Across the Existing Material Data Ecosystem

Recommendations remain requirements-led and vendor-neutral unless a specific platform implementation is commissioned. The material model should reflect how data is actually created, governed, exchanged and consumed.

Enterprise & operational platforms

Material records commonly sit across ERP, supply-chain, procurement, maintenance, manufacturing, inventory, PLM and product environments.

SAP S/4HANAOracle Fusion CloudMicrosoft Dynamics 365ERP / MRPEAM / CMMSPLM / PIM

MDM, quality & integration

Governance can be implemented through enterprise MDM, data-quality, workflow, catalogue, API and integration services already in the estate.

InformaticaReltioSemarchyCollibraMicrosoft PurviewAPIs / Integration

Reference standards & models

Applicable standards depend on industry, product type, geography and contractual requirements; they are used as reference points rather than universal mandates.

DAMA-DMBOK conceptsISO 8000 conceptsGS1 identifiers / data modelsInternal coding standardsIndustry classificationsQuality-management controls

Control note: SAP documents material master records as a shared source of descriptive and control information used by multiple business functions, while Oracle recommends careful design of item master organisations and item definitions. ISO 8000 includes standards covering the exchange and semantic encoding of master data, and GS1 publishes models for harmonised product-data attributes. Applicability should be validated against the client’s platforms, sector, jurisdictions and authorised legal, quality or compliance guidance.

Delivery methodology

A Phased Path from Material Data Evidence to Sustained Control

The sequence is adapted to the starting point. A migration may place remediation and mapping earlier; a governance programme may start with ownership and standard design.

Scope & Prioritise

Confirm material populations, business impacts, systems, stakeholders, decisions, constraints and success measures.

Gate: scope

Profile & Diagnose

Assess quality, duplicate patterns, classifications, workflows, ownership gaps, interfaces and recurring operational defects.

Gate: evidence

Define Standards

Agree domain boundaries, critical attributes, definitions, naming, units, classifications, rules and exception principles.

Gate: design

Design Governance

Set decision rights, stewardship, create-change-retire workflows, approvals, controls, metrics and escalation routes.

Gate: approve

Remediate & Implement

Execute priority correction, configure rules or workflow, integrate systems, validate mappings and test acceptance criteria.

Gate: validate

Operate & Improve

Monitor exceptions and quality, manage backlog, review controls, transfer knowledge and refine standards using evidence.

Gate: handover

Commercial clarity

Request a Quote Based on Your Material Estate

A responsible price depends on the record population, systems, material types, sites, data condition, governance maturity and implementation depth. This page does not invent a fixed fee where a reliable scope-based price has not been verified.

Request a Material Master Data Quote →

Record population & material typesVolume, active/obsolete split, languages, variants, classes and required segmentation.

Systems & organisational complexityERP or MDM instances, plants, business units, interfaces, local extensions and target architecture.

Assessment & duplicate depthProfiling, similarity analysis, business review, classification analysis and root-cause work.

Remediation & migrationCorrection scope, merge decisions, mapping, transformation, reconciliation, waves and cutover support.

Governance & workflow designRoles, approvals, policies, operating procedures, exception handling, forums and control evidence.

Implementation & knowledge transferConfiguration guidance, integration, testing, training, runbooks, handover and ongoing support.

Related capabilities

Material data issues often cross quality, metadata and enterprise governance boundaries. Use related services only where they support the same business outcome.

Scope the Right Material Master Intervention Before You Commit

Bring the main pain points, record volumes, systems, material types, sites and upcoming transformation milestones. We can help separate assessment, remediation, governance, migration and platform work into a practical sequence.

Request a Scope Review →

Frequently asked questions

Material Master Data FAQs

Answers to common buyer questions about scope, platforms, quality, duplicates, governance, migration, deliverables, timing and commercial treatment.

What is material master data?

Material master data is the governed set of relatively stable information used to identify, describe, classify and control materials across business processes. Depending on the organisation and systems involved, it can include material identifiers, descriptions, material types, units of measure, dimensions, weights, classifications, lifecycle status, procurement attributes, planning attributes, valuation or costing references, plant or location extensions and other approved characteristics.

What does the Material Master Data service include?

The service can include current-state assessment, material-data model review, critical-attribute definition, naming and classification standards, duplicate and similarity analysis, data-quality rules, ownership and stewardship design, create-change-retire workflows, approval controls, remediation planning, migration readiness, integration requirements, monitoring requirements and implementation support. Final scope is agreed during discovery.

Which material types can be included?

Scope can cover raw materials, ingredients, components, semi-finished goods, finished goods, packaging, spare parts, maintenance materials, consumables, services or other organisation-specific material categories. The relevant attributes, controls and approval routes should be defined by material type and business use rather than forced into one universal template.

How is material master data different from product master data?

The terms overlap in some organisations, but material master data commonly supports operational processes such as procurement, planning, production, inventory, maintenance, costing and logistics. Product master data may place greater emphasis on customer-facing product structures, assortments, marketing attributes, channels and product information. The service clarifies the required domain boundary and avoids duplicating stewardship between material, item, product, asset and reference-data domains.

Can you support SAP material master data?

Yes, where SAP is part of the client environment. The work can consider SAP material master structures, organisational levels, views, material types, units of measure, classifications, plant extensions, governance workflows, migration and quality controls. Recommendations remain dependent on the client release, configuration, integrations, authorisations and implementation scope.

Can you support Oracle, Microsoft or specialist MDM platforms?

Yes. The service is platform-neutral and can work across ERP, item or product master, MDM, PIM, PLM, procurement, supply-chain, data-quality, integration and metadata environments. Technology recommendations are based on the client architecture, requirements, security controls, skills and operating model rather than a predetermined product.

How do you identify duplicate materials?

Duplicate analysis normally combines deterministic rules and similarity techniques across identifiers, descriptions, manufacturer or supplier references, classifications, units, dimensions, specifications and other relevant attributes. Suspected matches require business review because similarity is not proof that two records represent the same material.

What material master data quality rules are commonly used?

Typical rule categories include completeness of mandatory attributes, valid units and reference values, identifier uniqueness, description standards, classification conformance, dimensional and unit consistency, lifecycle-state validity, relationship integrity, plant-extension requirements and approved combinations of attributes. Thresholds and exceptions should be tied to business purpose, risk and material type.

What deliverables can we expect?

Typical deliverables can include a current-state assessment, material-domain definition, critical-attribute register, data dictionary, naming and classification standards, quality-rule catalogue, duplicate-analysis findings, ownership and RACI model, create-change-retire workflow, control matrix, remediation backlog, migration acceptance criteria, monitoring specification, implementation roadmap, operating procedures and knowledge-transfer materials.

How long does a material master data engagement take?

A reliable duration is confirmed after scoping. Timing depends on the number of material records, material types, plants or business units, systems, interfaces, languages, classification structures, duplicate volumes, quality issues, stakeholder availability, migration requirements and the depth of implementation support.

How is Material Master Data pricing calculated?

Pricing is scope-led and confirmed after discovery rather than assumed from a fixed public fee. Cost factors can include record volume, source systems, material types, plants or entities, profiling depth, duplicate analysis, classification complexity, workflow design, remediation effort, migration waves, platform configuration, integration work, testing, workshops, onsite needs and knowledge transfer. Request a Quote is used when a responsible price cannot be confirmed from the available scope.

Can the service support an ERP or MDM migration?

Yes. Migration support can include source profiling, field and classification mapping, duplicate and obsolete-record treatment, cleansing rules, transformation specifications, validation, source-to-target reconciliation, cutover acceptance criteria, exception handling and post-load monitoring. The service does not remove the need for client process owners, platform specialists and controlled release management.

What information should we prepare before the engagement?

Useful inputs include sample material extracts, data dictionaries, material types and classes, naming conventions, unit and reference-value lists, workflow documents, organisation structures, ERP or MDM architecture, interface maps, migration plans, data-quality reports, duplicate backlogs, audit findings, operating procedures and access to accountable business and technology stakeholders.

Material Master Data Enquiry

Request a Material Master Data Scope Review

Share your requirement. DataConsultant can review likely scope, evidence needs, stakeholder involvement, delivery options and commercial next steps.