Training and Knowledge Transfer

Justifying and Implementing Master Data Management

COURSE DESCRIPTION

More complex and demanding business environments are forcing more heterogeneous systems environments. Data integration is required to synchronize master data in order to get a single consistent view of an enterprise’s core business entities like customers, products, suppliers, and employees. Given that effective master data for any subject area requires input from multiple applications and business units enterprise master data needs a formal management system. Business approval, business process change and capture of master data at optimal, early points in the data lifecycle is essential to achieving true enterprise master data.
You will learn:

  • An introduction to Master Data Management, which enables data synchronization across the heterogeneous system environment independent of operational and analytic domain
  • How MDM has direct business impact through facilitation of more accurate and timely business decision making and improved application delivery ability, all at a lower cost
  • How to organize the enterprise, both business and technical roles, for the determination and implementation of master data rules
  • How to take the conformed dimension concept to earlier points in the data lifecycle through MDM Architecture choices

Training Topics:

Definitions:

  • Market Sizing
  • Business Requirements driving MDM
  • Benefits of Enterprise MDM
  • MDM Technology and Components

Master Data Management Architecture Approaches:

  • Pre-operational MDM
  • Synchronization
  • Data Warehouse MDM

Conforming Dimensions for the Enterprise:

  • Fact-Dimension relationships
  • Cross-departmental modeling tips
  • Coming to standard data definitions
  • Modeling for multi-use
  • Hierarchical modeling

Business Process Workflows:

  • Workflow basics
  • Role-based security
  • MDM Workflow examples

Data Usability and Quality:

  • Organizational Data Discovery
  • Transforming data for use
  • Third party data incorporation
  • A Data Quality Program for the enterprise

Organizing and Planning for MDM Success:

  • Data Stewards
  • Rollout planning
  • Criteria for Tool Selection
  • Case studies

Specific Subject Area Focus

  • Customer Data Integration
  • Product Information Management