AI Article Synopsis
- Poor data quality hinders effective decision-making and negatively affects business processes, especially in many organizations today.
- The article explores the maturity levels of data quality and master data management, using a case study on benchmarking in hospitals.
- If organizations do not manage data quality and master data effectively, acquiring structured data may only increase costs and complexity.
Article Abstract
Poor data quality prevents the analysis of data for decisions which are critical for business. It also has a negative impact on business processes. Nevertheless the maturity level of data quality- and master data management is still insufficient in many organizations nowadays. This article discusses the corresponding maturity of companies and a management cycle integrating data quality- and master data management in a case dealing with benchmarking in hospitals. In conclusion if data quality and master data are not properly managed, structured data should not be acquired in the first place due to the added expense and complexity.
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