TDWI Master Data Management Fundamentals Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Top-performing businesses need high-quality, low-redundancy reference data. You can’t manage a supply chain with disparate and unreliable product and customer data, service your customers effectively with inconsistent customer views, or confidently report to stockholders when financial data is in disarray. Master data is important because it is used by many groups and processes throughout the enterprise. It is challenging because it is collected–often redundantly and inconsistently–by many groups and processes.

Master data management (MDM) is the process of collecting, consolidating, quality assuring, and distributing master data. MDM tools are abundant and diverse, but technology alone can’t solve the problem. The nature of identification, matching, consolidation, conflict resolution, and hierarchy management makes MDM complex and challenging. The right knowledge is an essential element of MDM success.

There are no prerequisites for this course.

MDM program managers, project managers, architects, and implementers; BI program managers, project managers, architects, and implementers; data warehousing program and project managers, architects, and implementers; data and technology architects; data quality professionals.

  • The what and why of MDM
  • Architectural options for MDM: repository, registry, engine, and broker
  • Identity management issues and techniques
  • Hierarchy management issues and techniques
  • MDM considerations for global and multinational businesses
  • The human and organizational aspects of MDM
  • The role of data governance in MDM
  • Relationships of MDM with BI and data warehousing

Module One : MDM Concepts

  • Defining MDM
  • Master data
  • Master data management
  • Customer data integration (CDI)
  • Product information management (PIM)
  • other domain specifics …

The Need for MDM 

  • business view
  • information systems view

The Basics of MDM

  • Enterprise view of reference entities
  • Enterprise view of relationships among things
  • It isn’t about “one right answer” or “single version of the truth”

Dimensions of MDM

  • People (organizations)
  • Processes (governance, business, metadata, etc.)
  • Data (and metadata)
  • architecture
  • technology
  • programs & projects

MDM Prerequisites

  • Technical infrastructure
  • Collaborative culture
  • Organizational readiness
  • Buy-in and data sharing culture
  • Data quality
  • Data governance


Module 2: MDM Processes and Architectures

MDM Processes

  • Identity management
  • Hierarchy management
  • Data integration
  • Application integration

MDM Architectures

  • Repository
  • Registry
  • Repository-Registry Hybrid
  • Engine
  • Broker
  • Something here about repository vs. registry and about services vs.
  • transactions

Module Three: Identity Management

Identity management defined

  • Uniqueness of things

Identity management functions

  • Search and Resolution
  • Record Linkage
  • Merge & Consolidation
  • Grouping and Splitting

Identity Management in MDM Architecture

  • Repository
  • Registry
  • Engine
  • Broker

Module Four: Hierarchy Management

Hierarchy management defined

  • Relationships of things
  • Multiple hierarchies (contrast to entity uniqueness)

Hierarchy management functions

  • Identification and matching
  • Consolidation
  • Record linkage
  • Versioning

Hierarchy Management in MDM Architecture

  • Repository
  • Registry
  • Engine
  • Broker

Module Five: Implementing and Operating MDM

Roles and Responsibilities

  • Stakeholders
  • Master data creators/providers
  • Master data consumers
  • program management
  • MDM development
  • MDM operations
  • Data governance

Data Governance for MDM

  • Ownership
  • Stewardship
  • Custodianship

Data Quality and MDM

  • Data profiling
  • Data quality assessment
  • Data cleansing
  • Process improvement

Data modeling and MDM

  • Exchange data model
  • Persistence data model

The MDM Program

  • Business case
  • Program management
  • Change management

MDM Projects

  • Implementation within a program framework
  • Kinds of projects

Architecture and infrastructure

Master data assessment

Data migration

Application migration

  • Project guidelines

MDM Operations

  • consolidation
  • synchronization
  • data quality management
  • administration and configuration

Sustaining and Maturing MDM

  • Feedback
  • Evolving services
  • data and metadata management
  • data governance
  • maturity models

Module Six: Summary and Conclusion

  • Summary of Key Points
  • References & Resources


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
24 November 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
24 November 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
27 November 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
27 November 2024
Berlin, Hamburg, Münih
1 Day
TDWI Master Data Management Fundamentals Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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