Data & AI

Master Data Management

With the OMMAX Master Data Management, you create consistent, complete, and system-wide master data. We reduce redundancy, prevent duplicates, and enable integrated data flows across BI, CRM, ERP, SCM, and other operational systems.

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Master Data Management

Is your master data consistent?

Very few companies operate system landscapes without redundant master data, as no single system can cover all processes of an organization. In addition, operational systems such as Microsoft Dynamics, Salesforce, or SAP S4/HANA store and manage their own master data. This leads to inconsistencies, as customer, material, product, or supplier master data are often maintained in several systems simultaneously. Without Master Data Management, discrepancies between datasets quickly arise.

What Dropbox or Google Drive are for files, MDM is for an organization’s central master data objects. It enables real-time matching when records are created or modified. MDM systems typically function as a central data hub, embedded into the system landscape and connected via web services or APIs. This ensures that data remains consistent — even across multiple systems.

Project workflow

Typical phases of a Master Data Management project

Identify relevant data objects and systems

Master Data Management should be used selectively due to its complexity. It is crucial to define the scope of an MDM project clearly at the start. Only business-critical master data used across systems should be synchronized initially. Additional data objects and systems can be added later.

Develop a global data model

The core of an MDM system is a globally usable, system-independent master data model. Many MDM vendors provide predefined models that must be adapted to the company’s specific needs.

Create mapping to local data models

Each system has its own data structures. To ensure long-term integration of master data across systems, mappings between local data models and the global MDM data model are required.

Connect source systems

All relevant source systems must be connected to the MDM — usually via web service–based interfaces or APIs, often with near real-time data exchange via push or pull principles.

Matching

Due to redundant data storage, duplicates naturally arise. Fuzzy logic is used to identify them as precisely as possible. Algorithms differ by data object and organization and are typically iteratively refined with domain experts.

Create "Golden Records"

For identified duplicate groups, one consistent, cross-system master record must be created — the “Golden Record.” Defined using expert logic, it serves as the basis for reporting and synchronization of consistent master data back into the source systems.

Define synchronization rules

Every system has its specifics. It must be clearly defined which fields may be changed, under which events, and through which processes. The goal is to keep source system data consistent and up to date without causing new issues (e.g., incorrect stock levels due to unit-of-measure changes).

Test, test, test

The complexity of MDM should not be underestimated. With each test, the maturity of the MDM increases. In agile environments, dedicated sprints for testing and refinement should be planned well before go-live.

Go-live

At the end of an MDM project, the most important master data in source systems are kept consistent. In addition, MDM provides the foundation for achieving a full 360° view of the business object.

Benefits

The benefits of MDM at a glance

Reduced maintenance effort

Centralizing master data changes in the MDM significantly lowers maintenance effort and minimizes manual updates across systems.

360° view of the business object

A unified master data layer provides the foundation for a complete 360° understanding of customers, products, suppliers, and other key business objects.

Consistent data across systems

MDM ensures that information remains consistent, even when stored redundantly across multiple operational systems.

Fewer duplicates

By identifying and eliminating duplicate records, MDM strengthens data integrity and improves downstream processes.

GDPR-compliant deletion and access

Centralized data structures support efficient handling of deletion requests and data access rights in accordance with GDPR.

Centralized consent management

MDM enables a single, authoritative view of consent information, helping organizations manage GDPR requirements reliably and transparently.

Impact

Our data & AI services in numbers

3,000+ tech, data & AI projects

100+ tech experts in-house

90+ net promoter score

50+ countries covered

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Master data is the foundation of every data-driven enterprise. Without reliable master data, even the best processes fail. MDM ensures that every system, every team, and every decision runs on accurate, consistent information.

Dr. Christian Fürber
Partner Data & AI

Why OMMAX

Your partner for Master Data Management & Data excellence

Comprehensive data expertise

With more than 80 in-house data experts, we combine strategic consulting with deep technical expertise — essential for successful MDM.

Holistic approach

We support the entire data lifecycle: from data audit and governance to data quality assurance, MDM implementation, and integration.

Tailored governance models

We design governance frameworks with clear roles, responsibilities, and processes — crucial for sustainable MDM operations.

Measurable impact

Our approach reduces duplicates, increases data quality, and creates the foundation for 360° visibility, efficiency gains, and compliance.

Our Data & AI partners

Turning intelligence into impact with proven partnerships

Get in touch

Strengthen your data foundation. Start the conversation with our Master Data experts!

Dr. Christian Fürber

Partner Data & AI

Daniel Soujon

Partner & CTO

Eva Bammann

Director Data & AI

Frequently asked questions

Everything you need to know about the OMMAX Master Data Management service

Master Data Management (MDM) is necessary because modern enterprises rely on multiple systems that all manage the same core data. Without a central approach, master data is duplicated across ERP, CRM, BI, and other platforms, leading to inconsistencies and operational issues.

MDM acts as a central data hub that synchronizes, validates, and distributes master data across systems in real time. This ensures a single, reliable view of critical data, stabilizes processes, and enables scalable analytics and automation.

Master Data Management integrates redundant data from systems such as CRM, ERP, HR, SCM, BI, newsletter tools, online shops, and data lakes.

Customer, supplier, and product master data.

A consistent cross-system data record created after duplicate matching; it forms the basis for reporting and synchronization back into source systems.

Because Master Data Management is complex, and each test increases the system’s maturity before going into production.

The acquisition strengthens OMMAX’s expertise in data governance, data quality management, master data management, and data protection — providing a robust foundation for data quality, efficient processes, and Industrial AI/IIoT transformation.

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