Master Data Management — from strategy to go-live

Implement Master Data Management: Build Consistent Core Data

Introduce master data management through a clearly scoped first use case.

  • 01Unified data foundation across all business units
  • 02Measurable improvements against agreed data-quality KPIs
  • 03Traceable data ownership and documented quality rules
  • 04Analytics and AI readiness through clean master data
11+Years of experience
120+Employees
540+Projects
ISO 27001certified

Why Master Data Management Is Indispensable Today

This service is for organisations implementing master data management in practice: one prioritised data domain, named data owners, quality rules and defined interfaces. The starting point is your source-system landscape and a concrete business process. Outputs include a target architecture, tool requirements, migration plan and acceptance criteria. A pilot tests whether rules and responsibilities work in daily operations before further domains are connected.

Our expert consultants provide comprehensive master data management implementation services tailored to your organization's specific needs. We combine deep regulatory expertise with practical implementation experience to deliver measurable results.

5 service modules

What we take on for you

Bookable individually or as an end-to-end programme.

01

MDM Strategy & Roadmap

Together with you, we develop a tailored master data strategy aligned with your business objectives. From the vision and target architecture to a prioritized implementation roadmap — with clear milestones and business cases.

02

Data Governance & Organization

Master data quality is not an IT issue — it is an organizational responsibility. We establish data ownership models, define roles such as Data Stewards, and create governance frameworks that function effectively in day-to-day operations.

03

Tool Selection & Implementation

We evaluate MDM platforms such as Informatica, SAP MDG, Profisee, or Ataccama on a vendor-independent basis, based on your specific requirements. We then accompany the implementation from configuration through to go-live.

04

Data Quality Management

We analyze your existing data quality, define measurable quality rules, and implement automated validation and cleansing processes. This ensures that your master data continuously meets quality requirements.

05

Data Migration & Integration

When introducing an MDM system, existing data must be migrated and source systems connected. We handle the mapping, cleansing, and technical integration into your existing IT landscape.

6 phases

MDM Implementation in 6 Phases

Proven, phase-based approach — tailored to your IT landscape and organizational structure.

  1. Assessment

    Analysis of the data landscape, data quality, and existing governance structures

  2. Strategy

    MDM vision, target architecture, and prioritization of data domains

  3. Governance

    Establishing data ownership models, roles (Data Stewards), and policies

  4. Tool Selection

    Vendor-independent evaluation (Informatica, SAP MDG, Ataccama, Profisee)

  5. Implementation

    Migration, data cleansing, integration, and phased rollout

  6. Operationalization

    Handover to regular operations with KPIs and continuous improvement

Asan Stefanski

Your contact

Asan Stefanski

Head of Digital Transformation

11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI

Why Choose ADVISORI?

  • 01Deep regulatory and industry expertise
  • 02Proven track record with leading organizations
  • 03Practical, implementation-focused approach
  • 04End-to-end support from assessment to implementation

Expert Consultation Available

Contact our specialists today for a personalized assessment of your requirements.

3 QUESTIONS, BRIEFLY ANSWERED

Frequently asked questions about Master Data Management Implementation

How long does it take to implement master data management?

The duration depends on the scope and complexity of your data landscape. An initial assessment and strategy development typically take 4–8 weeks. Full implementation of a first data domain (e.g., customer master data) can be achieved within 3–6 months. ADVISORI recommends an iterative approach: start with a prioritized domain, achieve quick wins, and then scale gradually to additional data domains.

What does implementing master data management cost?

Cost depends on the data domains, source systems, data quality, integrations and operating model. Separate consulting and implementation effort from platform licences and ongoing operations. An assessment should make assumptions, scope, acceptance criteria and effort transparent. These inputs support a project-specific quotation; a generic starting price without them would be unreliable.

Do we need a dedicated MDM tool, or is our ERP system sufficient?

That depends on the complexity of your data landscape. If you primarily work with a single ERP system and have few source systems, integrated functions may be sufficient. In heterogeneous system landscapes with multiple data sources, cross-domain requirements, or regulatory requirements, a dedicated MDM platform is advisable. ADVISORI analyzes your specific situation and recommends the appropriate approach — from lean governance solutions to enterprise MDM platforms.

Certificates, partners and more

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

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Schedule a strategic consultation with our experts now

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
Stakeholders and decision-makers in the project

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