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In the context of data warehousing and business intelligence, data quality is of utmost importance. However, many mid-size Data WareHouse (DWH) projects do not implement a proper data quality process due to huge up-front investments. However, assessing and monitoring data quality is necessary to establish confidence in the DWH data. In this paper, the authors describe a data quality monitoring system developed collaboratively at HS Hannover and SHS Viveon: The \"Data Checking Engine\" (DCE). The goal of the system is to provide DWH projects with an easy and quickly deployable solution to assess data quality while still providing highest flexibility in the definition of the assessment rules.
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