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Change Management Policy
Need
a change management policy and want practical standards and best
practices for information management governance and accountability?
Business intelligence is a subset of the information management
discipline which governs
accountability for the structure and design, storage, movement,
security, quality, delivery and usage of information required for
management and business intelligence purposes.
What is business intelligence change?
Change
is defined as anything—hardware,
software, system components, services,
documents, or processes—that is deliberately introduced
into the
production environment and which may affect a service
level agreement
(SLA) or otherwise affect the functioning of the environment or one of
its components.
All changes falling under this definition should be governed by a
change management policy as changes may:
- Affect multiple
users;
- Potentially disrupt business-critical
services;
- Involve hardware
(such as servers or networking
equipment) or software
modifications;
- Affect data
stored and hence the data
management, data movement and data presentation environments; and
- Involve operational and process
modifications
that affect multiple users.
What
is a change management policy?
Business intelligence change requires a policy
and procedures, or process, to implement the policy. The policy should
address:
- Purpose,
lets everyone know what the
policy covers;
- Effective
date—specifies the date the
policy started;
- Application
lets everyone know who is
expected to follow the policy;
- Background
or context provides more information as to why the policy is needed.
Depending on the organization this could discuss things like “risks
addressed";
- Definitions
provides clearer
definitions for any terms and concepts found in policy;
- Related
policies e.g.
- Business
continuity;
- Disaster
recovery;
- Information
security;
- Meta
data management;
- Data
quality metrics;
- Corporate
metrics management;
- Database
management; and
- project management
- Related
standards and best practices e.g.
- Data model (structure and design);
- Database management (storage);
- Data movement;
- Security;
- Data quality;
- Business intelligence
- Data model (structure and design);
- Database management (storage);
- Data movement;
- Security;
- Data quality; and
- Business intelligence
- Policy objectives should lists
specific objectives and
expected results. In other words, what
the company hopes to achieve with this policy;
- Policy
statements e.g. All changes to the business intelligence production
environment shall follow the procedures described in the change
management methodology and change management process;
- Accountability
should specify the
specific responsibilities of people concerned with the policy e.g.
- Change
initiator;
- Change
manager;
- Change
owner;
- Change
management team;
- Release
manager;
- Documentation
coordinator;
- Communications
coordinator;
- Change
test
coordinator; and
- Data
architect, data movement designer and business
intelligence designers
- Consequences
should specify what will happen in the policy is not followed e.g.
disciplinary actions for failure to adhere to the
policy; and
- Review
cycle specifies how frequently the
policy will be reviewed e.g this policy shall be reviewed annually.
Summary...
Change
is defined as anything—hardware,
software, system components, services,
documents, or processes—that is deliberately introduced
into the
production environment and which may affect a service
level agreement
(SLA) or otherwise affect the functioning of the environment or one of
its components.
All
changes falling under this definition should be governed by a change
management policy, and implemented by a change management methodology
and change management process.
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