  Data warehousing is continuously gaining importance as organizations are
realizing the benefits of decision oriented data bases. However, the stumbling
block to this rapid development is data quality issues at various stages of
data warehousing. Quality can be defined as a measure of excellence or a state
free from defects. Users appreciate quality products and available literature
suggests that many organization`s have significant data quality problems that
have substantial social and economic impacts. A metadata based quality system
is introduced to manage quality of data in data warehouse. The approach is used
to analyze the quality of data warehouse system by checking the expected value
of quality parameters with that of actual values. The proposed approach is
supported with a metadata framework that can store additional information to
analyze the quality parameters, whenever required.
