Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective

Johannes Sautter, Rebecca Litauer, Rudolf Fischer, Tina Klages, Andrea Wuchner, Elena Müller, Gretel Schaj, Ekaterina Dobrokhotova, Patrick Drews, Stefan Riess

2018

Abstract

Researchers and practitioners widely agree on data quality as one of the major goals of data management. However, data management departments in enterprises and organisations increasingly realise needs for data availability, compliance, operational excellence with regard to the domain and other data-challenges. In raised case studies in the enterprise, research and city domain, challenges regarding data availability, operational integration, compliance and quality of data management processes are analysed. Based on the concept of data quality, this paper argues for a similar concept with a broader scope for assessing an organisation’s data suitability. Based on literature and case studies this paper proposes a definition of the term data excellence as the capability of an organisation to reach its operational goals by ensuring the availability and integration of suitable, transparent and compliant high quality data.

Paper Citation

in Harvard Style

Riess S. (2018). Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, pages 245-252. DOI: 10.5220/0006912902450252

in Bibtex Style

@conference{data18,
author={Stefan Riess},
title={Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006912902450252},
isbn={978-989-758-318-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective
SN - 978-989-758-318-6
AU - Riess S.
PY - 2018
SP - 245
EP - 252
DO - 10.5220/0006912902450252