Master data that is governed, compliant, and ready for growth

Lower maintenance overhead, avoid expensive escalations, and build internal confidence in your master data platform

challanges

The risks of modern Master Data Platforms

Vendor lock-In

Organizations become overly dependent on vendor-specific expertise, making it difficult to maintain, evolve, or scale solutions independently.

Limited long-term support

A lack of internal capabilities or structured support models creates challenges in maintaining and improving systems over time.

Costly corrective projects

Without proper governance and architecture, organizations often face expensive remediation and reimplementation efforts.

Post-implementation instability

After go-live, systems may become operationally unstable due to insufficient governance, monitoring, and ownership structures.

Misaligned Master Data Models

Master Data models are implemented without alignment to Data Governance principles, leading to inconsistencies and limited long-term value.

Why traditional solutions don’t scale

Large consulting firms


Focused on SAP/Informatica ecosystems. High cost. Low flexibility. Limited priority for modern or niche platforms.

Local IT / body leasing


No true MDM end-to-end expertise. Limited integration experience. No connection to Data Governance.

Tool vendors / professional services


Focused on their own product only. Expensive post-go-live support (often €200+/hour). No continuous governance alignment.

Master Data health check

Most organizations believe their master data is good enough. In reality, it’s often inconsistent, duplicated, and spread across systems.

This checklist helps you quickly assess where you stand, and where hidden issues are limiting your operations, analytics, and AI initiatives.

Takes 5 minutes
Immediate insights
No technical knowledge required

What is this checklist?

A practical diagnostic tool designed to evaluate the maturity of Master Data Management in your organization.

It helps you identify gaps across:

  • data consistency and ownership
  • governance and processes
  • data quality and deduplication
  • integration and system architecture
  • data models and standards
  • readiness for scaling and AI

What you’ll learn

After completing the checklist, you will know:

  • whether your master data is consistent across systems
  • where duplication and inconsistencies create risk
  • which areas impact operations and decision-making
  • how well your organization is prepared to scale data and AI initiatives

See where your Master Data really stands

It takes a few minutes to complete – and can save months of operational inefficiencies and failed data initiatives.

Download Free Checklist

    benefits

    What do you gain with our Master Data Management service

    Within 3–6 months, your Master Data Management becomes stable, scalable, and governance-aligned.

    Master Data Model Design

    We design a structured master data model ensuring consistency and reliability across the organization.

    Master Data Migration & Consolidation

    We consolidate and migrate master data from multiple sources to create a single, trusted data foundation.

    Integration with Enterprise Systems

    We integrate master data with ERP, CRM, BI, DWH, Data Catalog, and Data Quality platforms to ensure seamless data flow across your technology landscape.

    MDM Platform Implementation & Configuration

    We implement and configure the MDM platform so it works reliably within your architecture and supports business processes.

    Embedded Data Governance

    We embed ownership structures, workflows, and quality rules directly into master data processes to ensure long-term control and accountability.

    Ongoing Development & Optimization

    We continuously improve and optimize the MDM environment so it evolves with your systems, data, and business requirements.

    Don’t take our word for it
    50+ reviews on Clutch

    They went above and beyond to ensure that all project deliverables were executed exactly how we wanted them.
    The customer service truly made me feel confident they were going to wind up with a great final product.
    Great partner in helping your business grow in the digital world
    Everything was handled very professionally, and they delivered the product before the deadline.
    Their responsiveness and dedication to delivering high-quality work set them apart from other providers.
    Their attention to detail, precision, and commitment to pixel-perfect execution was remarkable.
    They’re very reliable.
    They went above and beyond to ensure that all project deliverables were executed exactly how we wanted them.
    The customer service truly made me feel confident they were going to wind up with a great final product.
    Great partner in helping your business grow in the digital world
    Everything was handled very professionally, and they delivered the product before the deadline.
    Their responsiveness and dedication to delivering high-quality work set them apart from other providers.
    Their attention to detail, precision, and commitment to pixel-perfect execution was remarkable.
    They’re very reliable.

    reviewed on

    51 reviews

    Our implementation framework

    1

    Short diagnosis

    Executive and technical discussions, initial recommendations, verification of real platform competencies, identification of high-level pain points.

    2

    Assessment

    Architecture review, data model validation, integration analysis, governance alignment, application and engineering-level operational maturity.

    3

    Partnership model agreement

    Implementation support or stabilization. Long-term maintenance and development. Framework agreement or managed service model.

    Experts behind your data strategy

    Piotr Gomulak

    Head of Data Governance & Master Data Solutions

    Krzysztof Surowiecki

    Senior Data Engineer

    Piotr Zaleski

    Data Governance & Master Data Specialist

    Piotr Gomulak

    Head of Data Governance & Master Data Solutions

    leader spotlight

    Piotr is a Data Governance Architect and MDM expert with over a decade of experience in building enterprise-scale data foundations across global organizations.

    He specializes in designing and implementing Data Governance frameworks, Data Quality strategies, and Master Data Management ecosystems, ensuring data consistency, compliance, and AI-readiness.

    He has worked with leading organizations such as ERGO Hestia, Wavin, Fujitsu, Boehringer Ingelheim, Becton Dickinson, TK Elevator, Publicis Groupe, and Procter & Gamble.