A Data Quality Study Investigates How to Achieve Excellent Data Quality Inside an Organisation

Abstract

The goal of this paper is to identify and
explore future difficulties in data quality
research opportunities for achieving high
data quality inside an organisation. The
systematic literature review method was used
for the review, which was based on research
papers released in conference proceedings
and journals. We devised an approach for
reviewing key issues such as current data
quality research fields, critical dimensions in
data quality, models and techniques for data
quality management, as well as ways for
assessing data quality. We select relevant
research publications based on the evaluation
method, collect and synthesize data, and
answer our research questions. The report
analyses the gaps in future research and
shows the progress in data quality research
towards real-world applications Management
of organisations, the impact of data quality on
companies, and other research fields
Database-related data quality technology
solutions dominated the early years of data
quality research. However, because the
Internet has replaced newspapers as the
primary source of information, new study
topics such as web data quality evaluation
and big data are unavoidable. In addition,
this analysis highlights and examines essential
data quality characteristics in organisations
Data completeness, consistency, accuracy, and
timeliness are some examples.