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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.
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
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