explain how data governance would solve Lack of understanding and use of the information and Intensive manual information to respond to requests of information
Solution
Data governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. It is a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information.
A data governer is assigned to improve the quality of data. The data governer takes a sample of data out of production data to assess the quality and communicates the incompliance to the data custodian. A data custodian is a person who is accountable for managing and maintaining the data.
Data Governance has the following eight principles:
1. Integrity
2. Transparency
3. Auditability
4. Accountability
5. Stewardship
6. Checks-and-Balances .
7. Standardization
8. Change Management
When all these principles are implemented on the data of interest, the follwong questions are answered:
This level of understanding ensures the elimination of ambiguity and allows proper retrivel of information on request, higher quality of information when required and thereby ensuring the good response to information request.
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explain how data governance would solve Lack of understanding and use.docx
1. explain how data governance would solve Lack of understanding and use of the information and
Intensive manual information to respond to requests of information
Solution
Data governance refers to the overall management of the availability, usability, integrity, and
security of the data employed in an enterprise. It is a quality control discipline for assessing,
managing, using, improving, monitoring, maintaining, and protecting organizational information.
A data governer is assigned to improve the quality of data. The data governer takes a sample of
data out of production data to assess the quality and communicates the incompliance to the data
custodian. A data custodian is a person who is accountable for managing and maintaining the
data.
Data Governance has the following eight principles:
1. Integrity
2. Transparency
3. Auditability
4. Accountability
5. Stewardship
6. Checks-and-Balances .
7. Standardization
8. Change Management
When all these principles are implemented on the data of interest, the follwong questions
are answered:
2. This level of understanding ensures the elimination of ambiguity and allows proper retrivel
of information on request, higher quality of information when required and thereby
ensuring the good response to information request.
