| Business Performance and Information Excellence Practice
|
|
|
|
|
|
|
BiPM ENCYCLOPEDIA →
Intelligent Enterprise →
SECTION - Metadata Management →
|
CHAPTER - Metadata Management-Overview
|
This is the context setting chapter for Metadata Management. It shares the definition of metadata, demystifies metadata management, provides examples for business and technical metadata, and also on why do we need metadata.
|
|
| |
Topics
|
|
|
This page provides definition of metadata and tries to provide clarity on metadata management context. Metadata management is not only a BI subject, but an overall data management subject, serving whole of the organization.
|
| |
|
|
Metadata has a wide range of benefit. It works on building productivity, enhancing data quality, cost saving on business activities and reduce the redundancies.
|
| |
|
|
Technical metadata includes all the details on all layers of the systems both at physical and logical level.
|
| |
|
|
Business metadata is capturing details about an organization out of the boundaries of IT systems. It also has the details on the business specs which define the IT systems.
|
| |
|
|
Metadata is recorded at different level of details and also from different perspectives. The level of detail ranges from the contextual level to implementation level. The type of metadata includes functional, timing, location, ownership etc..
|
| |
|
|
Both Metadata Management and Master-data management are data management initiatives. They have a close link with BI, but their sole purpose is not BI alone. They serve BI and also gain from BI. However, transactional systems have an equal stake on MDM and Metadata.
|
| |
|
|
A true big-bang enterprise metadata is a failed dream. With advancement of technology world is moving towards multiple metadata repositories linked through a hub and spoke model. The hub and spoke model can work as a federated model or a true metadata warehouse.
|
| |
|
|
|
|
|
|
All Chapters in "Metadata Management." Section
|
|
|
|
| |
| |
| Back |
