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Justifying and Implementing Master Data Management for the Enterprise.

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: Data Usability and Quality:

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

Organizational Data Discovery
Transforming data for use
Third party data incorporation
A Data Quality Program for the enterprise
Master Data Management Architecture Approaches: Organizing and Planning for MDM Success

Pre-operational MDM
Synchronization
Data Warehouse MDM
 

 

Data Stewards
Rollout planning
Criteria for Tool Selection
Case studies
 

Conforming Dimensions for the Enterprise

Specific Subject Area Focus

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


 


Customer Data Integration
Product Information Management
Business Process Workflows

Workflow basics
Role-based security
MDM Workflow examples
Enterprise Information Management

Master Data Management

Data Quality Competency Center

Data Quality and Data Profiling

Data Transformation (ETL)

Data Migrations and Conversions

Metadata Management


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