The Role of Data Quality Scorecards in Measuring Business Success

Abstract

The primary objective of this thesis is to create a data quality scorecard (DQS) that connects the data quality requirements of the Data Warehouse at Brewage Ltd Group with certain data quality dimensions. In the initial iteration, utilizing Design Science Research (DSR) as a paradigm, the artefact was constructed based on the findings of a comprehensive and thorough literature research conducted. A data quality scorecard (DQS) was devised. The initial iteration of the System Usability Scale (SUS) indicates that the data warehouse stakeholders deemed the Data Quality System (DQS) beneficial. The second iteration was performed to further assess the DQS by executing a trial in the FMCG sector, followed by a semi-structured interview. The theme analysis of the semi-structured interviews revealed that the stakeholders perceived the DQS as transparent, an extra reporting tool, integrative, user-friendly, consistent, and confidence-enhancing about the data. The timeliness data component was deemed superfluous, requiring an amendment to the DQS. The third iteration was executed using the same procedures as the second iteration, although with the revised DQS in the oil and gas sector. The findings from the third iteration indicate that DQS is an effective and user-friendly tool for everyday application. The study advances theoretical understanding by presenting an innovative methodology for DQS design. This was accomplished by ensuring the DQS architecture corresponds with the data quality concerns of the DW stakeholders and the data quality dimensions. This research establishes a robust foundation for the future by creating a DQS model that may serve as a basis for subsequent development.