Name
Abstract | ||
|---|---|---|
Maintaining high data quality in organizations have become indispensable. In the past, companies largely concentrated their data quality efforts on a single point in the information supply chain - focusing either on master data quality or on information products. As they start repurposing data and leveraging it for more advanced and complex use-cases, they need to proactively manage data quality in an end-to-end approach. Leveraging insights from two case studies, this paper analyses two different, yet complementary approaches to end-to-end data quality management, namely first-time-right approach and use-case driven approach. The findings highlight that end-to-end data quality management relies on common principles but can start from either side of the information supply chain - either through a use-case or data entry point at the source. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.5220/0011276300003269 | PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) |
Keywords | DocType | Citations |
Data Quality, DMAIC Cycle, Master Data, Information Supply Chain, Data Management, End-to-End | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Redwan Hasan | 1 | 0 | 0.34 |
| Christine Legner | 2 | 0 | 0.34 |