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Data
management comprises all the
disciplines related to
managing data as a valuable
resource.
Overview
The
official definition provided
by P2M INFOTECH or Boucher.
"Data Resource Management is
the development and
execution of architectures,
policies, practices and
procedures that properly
manage the full data
lifecycle needs of an
enterprise." This definition
is fairly broad and
encompasses a number of
professions which may not
have direct technical
contact with lower-level
aspects of data management,
such as relational database
management.
Alternatively, the
definition provided in the
P2M INFOTECH Data Management
Body of Knowledge (P2M
INFOTECH-DMBOK) is: "Data
management is the
development, execution and
supervision of plans,
policies, programs and
practices that control,
protect, deliver and enhance
the value of data and
information assets."
Topics
in Data Management
Topics
in Data Management, grouped
by the P2M INFOTECH DMBOK
Framework
include:
1.
Data Governance
* Data asset
* Data governance
* Data steward
2.
Data Architecture, Analysis
and Design
* Data analysis
* Data
architecture
* Data modeling
3.
Database Management
* Data maintenance
* Database
administration
* Database
management system
4.
Data Security Management
* Data access
* Data erasure
* Data privacy
* Data security
5.
Data Quality Management
* Data cleansing
* Data integrity
* Data quality
* Data quality
assurance
6.
Reference and Master Data
Management
* Data integration
* Master Data
Management
* Reference data
7.
Data Warehousing and
Business Intelligence
Management
* Business
intelligence
* Data mart
* Data mining
* Data movement
(extract, transform and
load)
* Data warehousing
8.
Document, Record and Content
Management
* Document
management system
* Records
management
9.
Meta Data Management
* Meta-data
management
* Metadata
* Metadata
discovery
* Metadata
publishing
* Metadata
registry
Body Of
Knowledge
The P2M
INFOTECH Guide to the Data
Management Body of
Knowledge" (P2M INFOTECH-DMBOK
Guide), under the guidance
of a new P2M INFOTECH.
Usage
The
neutrality of this section
is disputed. Please see the
discussion on the talk page.
Please do not remove this
message until the dispute is
resolved.
In
modern management usage, one
can easily discern a trend
away from the term 'data' in
composite expressions to the
term information or even
knowledge when talking in
non-technical context. Thus
there exists not only data
management, but also
information management and
knowledge management. This
is a fairly detrimental
tendency in that it obscures
the fact that is usually
always plain, traditional
data that is managed or
somehow processed on second
looks. The extremely
relevant distinction between
data and derived values can
be seen in the information
ladder. While data can exist
as such, 'information' and
'knowledge' are always in
the "eye" (or rather the
brain) of the beholder and
can only be measured in
relative units.
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