Abstract
The development of integrative IS architectures focuses typically on solving problems related to the functionality of the system. It is attempted to design optimally flexible interfaces that can achieve the most agile architecture. The quality of the data that will be exchanged across these interfaces is often disregarded (implicitly or explicitly). This results in distributed applications which are functionally correct but cannot be deployed due to the low quality of the data involved. In order to avoid wrong business decisions due to ‘dirty data’, quality characteristics have to be captured, processed, and provided to the respective business task. However, the issue of how to efficiently provide applications with information about data quality is still an open research problem. Our approach tackles the problems posed by data quality deficiencies by presenting a novel concept to stream and warehouse data together with its describing data quality information.
Recommended Citation
Olbrich, Sebastian, "Warehousing and Analyzing Streaming Data Quality Information" (2010). AMCIS 2010 Proceedings. 159.
https://aisel.aisnet.org/amcis2010/159