This one-day seminar provides a systematic approach to the special data modeling challenges in Master Data Management (MDM). In particular it will focus on:
What master data is and its special management needs
Higher-level and lower-level data models for MDM
How to deal with history in master data
Designing for embedded and discrete metadata to support MDM
The effects of architecture on data models for MDM
The challenge of hidden subtypes in MDM data models
Designing models for master data production versus distribution
SOA and canonical data models for MDM
Levels of abstraction in master data
Incorporating data standards
Designing for identity cross-referencing
Modeling for the integration of master data
Change control among data models for MDM
Incorporating data governance requirements
Data models and information knowledge management
Incorporating vendor supplied master data content
By
Malcolm Chisholm
February 1 , 2010
Crowne Plaza Hotel, Clark, NJ
No comments:
Post a Comment