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.