TBDQ: A Pragmatic Task-Based Method to Data Quality Assessment and Improvement.

ABSTRACT: Organizations are increasingly accepting data quality (DQ) as a major key to their success. In order to assess and improve DQ, methods have been devised. Many of these methods attempt to raise DQ by directly manipulating low quality data. Such methods operate reactively and are suitable for organizations with highly developed integrated systems. However, there is a lack of a proactive DQ method for businesses with weak IT infrastructure where data quality is largely affected by tasks that are performed by human agents. This study aims to develop and evaluate a new method for structured data, which is simple and practical so that it can easily be applied to real world situations. The new method detects the potentially risky tasks within a process, and adds new improving tasks to counter the

SUBMITTER: Vaziri R 

PROVIDER: S-EPMC4871700 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature