TDWI Master Data Management Fundamentals Training in Republic of the Philippines

  • 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 Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

03 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
09 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
03 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
24 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
09 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
03 February 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
24 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
03 February 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
TDWI Master Data Management Fundamentals Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

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