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Authors: Johannes Sautter 1 ; Rebecca Litauer 1 ; Rudolf Fischer 1 ; Tina Klages 2 ; Andrea Wuchner 2 ; Elena Müller 1 ; Gretel Schaj 1 ; Ekaterina Dobrokhotova 1 ; Patrick Drews 1 and Stefan Riess 3

Affiliations: 1 Fraunhofer Institute for Industrial Engineering IAO, Nobelstr. 12, 70569 Stuttgart and Germany ; 2 Fraunhofer Information Centre for Planning and Building IRB, Nobelstr. 12, 70569 Stuttgart and Germany ; 3 KPMG AG Wirtschaftsprüfungsgesellschaft, Barbarossaplatz 1A, 50674 Köln and Germany

Keyword(s): Data Excellence, Data Quality, Operational Excellence, Compliance, Data Governance.

Related Ontology Subjects/Areas/Topics: City Data Management ; Data Engineering ; Data Management and Quality ; Information Quality ; Open Data ; Organizational Concepts and Best Practices ; Transparency in Research Data

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.

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Paper citation in several formats:
Sautter, J.; Litauer, R.; Fischer, R.; Klages, T.; Wuchner, A.; Müller, E.; Schaj, G.; Dobrokhotova, E.; Drews, P. and 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 - DATA; ISBN 978-989-758-318-6; ISSN 2184-285X, SciTePress, pages 245-252. DOI: 10.5220/0006912902450252

@conference{data18,
author={Johannes Sautter. and Rebecca Litauer. and Rudolf Fischer. and Tina Klages. and Andrea Wuchner. and Elena Müller. and Gretel Schaj. and Ekaterina Dobrokhotova. and Patrick Drews. and 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 - DATA},
year={2018},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006912902450252},
isbn={978-989-758-318-6},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - DATA
TI - Beyond Data Quality: Data Excellence Challenges from an Enterprise, Research and City Perspective
SN - 978-989-758-318-6
IS - 2184-285X
AU - Sautter, J.
AU - Litauer, R.
AU - Fischer, R.
AU - Klages, T.
AU - Wuchner, A.
AU - Müller, E.
AU - Schaj, G.
AU - Dobrokhotova, E.
AU - Drews, P.
AU - Riess, S.
PY - 2018
SP - 245
EP - 252
DO - 10.5220/0006912902450252
PB - SciTePress