Data Quality Improvement Model for Awash Insurance’s Information System
| dc.contributor.advisor | Melkamu Beyene | |
| dc.contributor.author | Naol Gemeda | |
| dc.date.accessioned | 2025-08-31T23:31:42Z | |
| dc.date.available | 2025-08-31T23:31:42Z | |
| dc.date.issued | 2024-09 | |
| dc.description.abstract | The study analyzes and improves data quality issues in the information system of Awash Insurance S.C. through providing a comprehensive model known as Insurance Data Quality Improvement Process Model (IDQIPM). The approach contributes to operational efficiency and decision-making reliability of the company (AIC) by addressing data quality problems such as instance duplication, data value inconsistency, inaccuracy, and incompleteness issues of its Information system data. Design Science Research Methodology with qualitative approach is employed in this study. A data quality assurance model that can enhance data quality within Insurance’s underwriting operation, one of the core business processes of the company and that faces most of data quality problems is proposed. The models effectiveness has been attempted to be shown in demonstration section of this paper which brought about encouraging results in terms of enhancing data quality within Awash Insurance S.C.'s insurance information system. However, future research might improve the model so as to enhance various data quality dimensions which is not addressed in this study. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/7279 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | Data Quality Improvement | |
| dc.subject | Model for Awash | |
| dc.subject | Insurance’s Information System | |
| dc.title | Data Quality Improvement Model for Awash Insurance’s Information System | |
| dc.type | Thesis |