Businesses may be in the dark about how bad their data quality problems are, with many building up over a period of time, it has been suggested.
Industry commentator Jim Harris has explained that while many companies may believe that their current system is effective, errors occurring at data input details may not be noticeable at first.
He explained that although organizations may find that their systems can give the impression of offering high data quality standards, this may not be the actual case.
Writing on his OCDQ blog, he noted that mistakes within data warehouse practices and reporting processes can often go unnoticed for long periods of time.
"When postal address validation software
generates a valid mailing address, it often does so by removing what it considers to be extraneous information from the input address fields, which may include valid data accidentally entered into the wrong field, or that was lacking its own input field," Mr Harris added.
Posted by Rachel Wheeler