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Improving Data Quality in Swedbank Swedish DataWarehouse
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Poor data quality is very much present in large organizational databases

worldwide, such as data warehouses (DWs). The purpose of this thesis

is to propose improvements in how data quality issues are handled in

Swedbank Swedish Data Warehouse. The thesis starts with a general explanation of what a DW is and what usage areas it has. After that, the concept of data quality and its dimensions is examined. Typical issues with data quality that may arise and how to solve them are covered. Swedbank’s architecture is described, along with the problems they face, and how they try to handle them as of now. Finally, improvement areas in their methods are highlighted, and general strategies, based on done research, for avoiding data quality issues are proposed. Hopefully, the propositions given in this thesis can be of use to others facing similar issues.

Place, publisher, year, edition, pages
2016. , 26 p.
Series
UMNAD, 1062
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-128236OAI: oai:DiVA.org:umu-128236DiVA: diva2:1050768
External cooperation
Swedbank Group IT
Educational program
Bachelor of Science Programme in Computing Science
Supervisors
Examiners
Available from: 2016-11-30 Created: 2016-11-30 Last updated: 2017-02-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Output format
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