Abstract
The main objective of this research to understand if previous Data Quality frameworks are still applicable in today’s organisational environment characterised by a wide variety of data types, including the unstructured data. The paper describes a pilot study conducted in a global imaging company with the researchers adopting and re-examining a previously developed data quality framework, used in a number of different research studies for more than a decade. The study focuses on two research questions: Are the existing data quality frameworks developed for highly structured data, still applicable to today’s organisational environment? Do users’ perceptions of data quality change depending on data type? The paper reports on the main findings and offers some suggestions for future research.
Recommended Citation
Anstiss, Sarah and Marjanovic, Olivera, "Assessing Quality of Unstructured Data – Insights From a Global Imaging Company" (2013). ACIS 2013 Proceedings. 22.
https://aisel.aisnet.org/acis2013/22