Data quality has always been an important issue for companies, and this
is even more the case today. Business and legislative pressures coupled
with the explosion in the amount of data created by organizations is leading
to increased corporate attention on improving the quality and accuracy of
business data.
This paper reviews current industry problems concerning data quality, and
takes a detailed look at how companies are addressing quality problems
with customer, product, and other types of corporate data. It explains why
data quality projects often evolve into master data management projects,
and discusses how master data can be extracted from unstructured business content and integrated into traditional corporate data systems.
