Bad Data Quality Eats Ecosystem for Breakfast

Abstract

This paper explores challenges in intra- organizational data ecosystems, with a focus on data quality and its impact on organizations. Data quality is essential for optimizing data integration and interoperability within large companies, which often function as independent ecosystems. However, data sharing is frequently hindered by various issues. Through expert interviews with two distinct business units at a leading global tech firm, the study identifies six data issues with technical incompatibilities as the main cause of data quality problems. It reveals that independent technical decisions by one actor can significantly affect others, highlighting the need to balance individual requirements with overall data quality improvement.