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.
Module One : MDM Concepts
The Need for MDM
The Basics of MDM
Dimensions of MDM
MDM Prerequisites
Module 2: MDM Processes and Architectures
MDM Processes
MDM Architectures
Module Three: Identity Management
Identity management defined
Identity management functions
Identity Management in MDM Architecture
Module Four: Hierarchy Management
Hierarchy management defined
Hierarchy management functions
Hierarchy Management in MDM Architecture
Module Five: Implementing and Operating MDM
Roles and Responsibilities
Data Governance for MDM
Data Quality and MDM
Data modeling and MDM
The MDM Program
MDM Projects
Architecture and infrastructure
Master data assessment
Data migration
Application migration
MDM Operations
Sustaining and Maturing MDM
Module Six: Summary and Conclusion
Join our public courses in our Finland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.