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  4. Beyond data quality. Data excellence challenges from an enterprise, research and city perspective
 
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2018
  • Konferenzbeitrag

Titel

Beyond data quality. Data excellence challenges from an enterprise, research and city perspective

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.
Author(s)
Sautter, Johannes orcid-logo
Litauer, Rebecca
Fischer, Rudolf
Klages, Tina
Fraunhofer-Informationszentrum Raum und Bau IRB
Wuchner, Andrea orcid-logo
Fraunhofer-Informationszentrum Raum und Bau IRB
Müller, Elena
Schaj, Gretel
Dobrokhotova, Ekaterina
Drews, Patrick
Riess, Stefan
Hauptwerk
DATA 2018, 7th International Conference on Data Science, Technology and Applications 2018. Proceedings
Project(s)
HEFE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Konferenz
International Conference on Data Science, Technology and Applications (DATA) 2018
DOI
10.5220/0006912902450252
File(s)
N-506685.pdf (147.91 KB)
Language
Englisch
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