Master Data Management
We structure the lifecycle of customer, vendor, product and material master data by aligning processes, ownership and technology. The goal is to reduce inconsistencies across systems, strengthen traceability and support sustainable operations.
The final solution depends on the client’s environment and assessment.
Common enterprise challenges
We structure the lifecycle of customer, vendor, product and material master data by aligning processes, ownership and technology. The goal is to reduce inconsistencies across systems, strengthen traceability and support sustainable operations.
Common enterprise challenges
- Duplicate customers or vendors affecting operations and billing.
- Inconsistent materials or product descriptions across platforms.
- Manual creation and updates without clear ownership, rules or audit trails.
- Interfaces propagating errors from ERP and other business applications.
From technical complexity to business value
We start with an inventory of business domains and source systems, define a target data model and design validation, matching, consolidation and maintenance rules. Approval workflows and quality controls are established for sustainable operations.
Capabilities we can develop
- Current-state assessment and prioritization of master-data domains.
- Standardization, deduplication, matching and enrichment.
- Master-data models, hierarchies, keys and relationships.
- Creation, change, approval and audit workflows.
- Integration with SAP and other enterprise applications.
- Quality indicators and exception management.
Consulting outputs you can expect
Illustrative scope; exact deliverables are agreed for each engagement.
Target MDM model
Domains, critical attributes, rules and owners.
Rules catalog
Validation, matching and quality controls.
Implementation roadmap
Phases, dependencies and delivery priorities.
Operating model
Approval workflows, monitoring and improvement.
How we structure an engagement
Discover
Understand business processes, systems, data and actual needs.
Design
Agree architecture, accountability, priorities and acceptance criteria.
Deliver
Build or improve processes and solutions through measurable iterations.
Enable
Transfer knowledge, measure outcomes and plan ongoing improvements.
Technology guided by the business objective
SAP ERP / S/4HANA, SAP MDG, HANA, SQL and MDM platforms, depending on the existing architecture and agreed scope.
Important questions before getting started
Do we need to replace existing systems?
Not necessarily. We first assess where data should be managed, how it is integrated and which controls can be implemented with existing tools.
Where should we start?
A critical domain is typically prioritized, its quality issues are assessed and a controlled pilot scope is defined.
Services that complement this solution
Is your organization facing this challenge?
Tell us about your context and priorities. An initial assessment can help establish scope and define next steps.