Identify, assess,
fix, document, and communicate
potential quality issues in the way data is collected, stored, processed, or
used. This may involve interacting w
ith business users to resolve data
quality problems using techniques such as root cause analysis as well as
collecting user requirements. Fixing the data problem may require the
DQA to recommend, design, implement and monitor quality procedures
for use in the data production process. It may also include data cleansing
operations like removing duplicate records.