| Abstract: |
In the digitalization age, the importance for companies to use internal and external data effectively and efficiently is increasing. Therefore, the application of BI technologies becomes more popular continuously. But German companies are still using BI technologies crudely and one-sided. It is believed, that one reason for this phenomenon is missing confidence in the BI system and tools. BI technologies are dependent on data and data quality as information gained out of the system are only as valuable as the data they are based on. Therefore, data quality is a success factor for BI and understood as the prerequisite for transparency and acceptance of the system. In this research, first BI supporting data quality and provisioning characteristics are defined and afterwards evaluated towards their development in German companies. The results indicate that the backlog demand of German companies in BI can indeed be caused by faulty master data, lack in data consistency and non-transparency of the BI architecture. |
| Citation: |
Hartl, Karin and Jacob, Olaf
(2016)
The Role of Data Quality in Business Intelligence - An empirical study in German medium-sized and large companies.
In: (Proceedings of the) 21st International Conference on Data Quality (ICIQ), June 22-23, 2016, Ciudad Real, Spain, pp. 33-42.
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