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Authors: M. Redwan Hasan and Christine Legner

Affiliation: University of Lausanne, Switzerland

Keyword(s): Data Quality, DMAIC Cycle, Master Data, Information Supply Chain, Data Management, End-to-End.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hasan, M. R. 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 - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 392-399. DOI: 10.5220/0011276300003269

@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 - DATA},
year={2022},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011276300003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - End-to-End Data Quality: Insights from Two Case Studies
SN - 978-989-758-583-8
IS - 2184-285X
AU - Hasan, M.
AU - Legner, C.
PY - 2022
SP - 392
EP - 399
DO - 10.5220/0011276300003269
PB - SciTePress

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