End-to-End Data Quality: Insights from Two Case Studies

M. Redwan Hasan, Christine Legner

2022

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.

Paper Citation

in Harvard Style

Hasan M. and Legner C. (2022). End-to-End Data Quality: Insights from Two Case Studies. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 392-399. DOI: 10.5220/0011276300003269

in Bibtex Style

@conference{data22,
author={M. Redwan Hasan and Christine Legner},
title={End-to-End Data Quality: Insights from Two Case Studies},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011276300003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - End-to-End Data Quality: Insights from Two Case Studies
SN - 978-989-758-583-8
AU - Hasan M.
AU - Legner C.
PY - 2022
SP - 392
EP - 399
DO - 10.5220/0011276300003269