Authors:
Mirona Ana-Maria Popescu
1
;
Mouzhi Ge
2
and
Markus Helfert
3
Affiliations:
1
University Politehica of Bucharest, Romania
;
2
Masaryk University, Czech Republic
;
3
Dublin City University, Ireland
Keyword(s):
Data Quality, ERP, Social Media, Business Intelligence Solutions.
Related
Ontology
Subjects/Areas/Topics:
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
Abstract:
With the increase of digitalisation, data in social media are often seen as more updated and realistic than the information system representations. Due to the fast changes in the real world and the increasing Big Social media data, there is usually certain misalignment between the social media and information system in the enterprise such as ERP, therefore there can be data deficiencies or data quality problems in the information systems, which is caused by the differences between the external social media and internal information system. In this paper, underpinned by the work of ontological data quality from Wang and Wand 1996, we investigate a set of data quality problems between two representations - Social Media and ERP. We further discuss how ERP system can be improved from the data quality perspective.