Data quality assurance for strategic decision making in Abu Dhabi's public organisations

2.50
Hdl Handle:
http://hdl.handle.net/10547/595704
Title:
Data quality assurance for strategic decision making in Abu Dhabi's public organisations
Authors:
Alketbi, Omar
Abstract:
Data quality is an important aspect of an organisation’s strategies for supporting decision makers in reaching the best decisions possible and consequently attaining the organisation’s objectives. In the case of public organisations, decisions ultimately concern the public and hence further diligence is required to make sure that these decisions do, for instance, preserve economic resources, maintain public health, and provide national security. The decision making process requires a wealth of information in order to achieve efficient results. Public organisations typically acquire great amounts of data generated by public services. However, the vast amount of data stored in public organisations’ databases may be one of the main reasons for inefficient decisions made by public organisations. Processing vast amounts of data and extracting accurate information are not easy tasks. Although technology helps in this respect, for example, the use of decision support systems, it is not sufficient for improving decisions to a significant level of assurance. The research proposed using data mining to improve results obtained by decision support systems. However, more considerations are needed than the mere technological aspects. The research argues that a complete data quality framework is needed in order to improve data quality and consequently the decision making process in public organisations. A series of surveys conducted in seven public organisations in Abu Dhabi Emirate of the United Arab Emirates contributed to the design of a data quality framework. The framework comprises elements found necessary to attain the quality of data reaching decision makers. The framework comprises seven elements ranging from technical to human-based found important to attain data quality in public organisations taking Abu Dhabi public organisations as the case. The interaction and integration of these elements contributes to the quality of data reaching decision makers and hence to the efficiency of decisions made by public organisations. The framework suggests that public organisations may need to adopt a methodological basis to support the decision making process. This includes more training courses and supportive bodies of the organisational units, such as decision support centres, information security and strategic management. The framework also underscores the importance of acknowledging human and cultural factors involved in the decision making process. Such factors have implications for how training and raising awareness are implemented to lead to effective methods of system development.
Citation:
Alketbi, O. (2014) 'Data Quality Assurance for Strategic Decision Making in Abu Dhabi's Public Organisations' MPhil thesis. University of Bedfordshire.
Publisher:
University of Bedfordshire
Issue Date:
Mar-2014
URI:
http://hdl.handle.net/10547/595704
Type:
Thesis or dissertation
Language:
en
Description:
“A thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of Master of Philosophy”.
Appears in Collections:
PhD e-theses

Full metadata record

DC FieldValue Language
dc.contributor.authorAlketbi, Omaren
dc.date.accessioned2016-02-05T11:55:23Zen
dc.date.available2016-02-05T11:55:23Zen
dc.date.issued2014-03en
dc.identifier.citationAlketbi, O. (2014) 'Data Quality Assurance for Strategic Decision Making in Abu Dhabi's Public Organisations' MPhil thesis. University of Bedfordshire.en
dc.identifier.urihttp://hdl.handle.net/10547/595704en
dc.description“A thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of Master of Philosophy”.en
dc.description.abstractData quality is an important aspect of an organisation’s strategies for supporting decision makers in reaching the best decisions possible and consequently attaining the organisation’s objectives. In the case of public organisations, decisions ultimately concern the public and hence further diligence is required to make sure that these decisions do, for instance, preserve economic resources, maintain public health, and provide national security. The decision making process requires a wealth of information in order to achieve efficient results. Public organisations typically acquire great amounts of data generated by public services. However, the vast amount of data stored in public organisations’ databases may be one of the main reasons for inefficient decisions made by public organisations. Processing vast amounts of data and extracting accurate information are not easy tasks. Although technology helps in this respect, for example, the use of decision support systems, it is not sufficient for improving decisions to a significant level of assurance. The research proposed using data mining to improve results obtained by decision support systems. However, more considerations are needed than the mere technological aspects. The research argues that a complete data quality framework is needed in order to improve data quality and consequently the decision making process in public organisations. A series of surveys conducted in seven public organisations in Abu Dhabi Emirate of the United Arab Emirates contributed to the design of a data quality framework. The framework comprises elements found necessary to attain the quality of data reaching decision makers. The framework comprises seven elements ranging from technical to human-based found important to attain data quality in public organisations taking Abu Dhabi public organisations as the case. The interaction and integration of these elements contributes to the quality of data reaching decision makers and hence to the efficiency of decisions made by public organisations. The framework suggests that public organisations may need to adopt a methodological basis to support the decision making process. This includes more training courses and supportive bodies of the organisational units, such as decision support centres, information security and strategic management. The framework also underscores the importance of acknowledging human and cultural factors involved in the decision making process. Such factors have implications for how training and raising awareness are implemented to lead to effective methods of system development.en
dc.language.isoenen
dc.publisherUniversity of Bedfordshireen
dc.subjectdata qualityen
dc.subjectassuranceen
dc.subjectstrategic decision makingen
dc.subjectAbu Dhabien
dc.subjectpublic organisationen
dc.subjectN211 Strategic Managementen
dc.subjectdecision makingen
dc.titleData quality assurance for strategic decision making in Abu Dhabi's public organisationsen
dc.typeThesis or dissertationen
dc.type.qualificationnamePhDen_GB
dc.type.qualificationlevelMasters Degreeen
dc.publisher.institutionUniversity of Bedfordshireen
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