Before businesses implement data quality improvement campaigns they must first admit that the information they are currently storing is harming decision making.
Industry expert Jim Harris explained that organization which are unable to face up to the existing problems will never see success in future data quality initiatives.
Writing on his OCDQ blog, Mr Harris noted that this was an area which was often ignored by businesses - even in organizations where IT staff acknowledge that high data quality levels are important to their success.
"Everyone will agree that ensuring high quality data is being used to make critical daily business decisions is vitally important to corporate success, but for an organization to reduce its data defects, it has to first acknowledge having data defects," Mr Harris said.
David Loshin, president of consultancy Knowledge Integrity, wrote on the B-Eye-Network that long-term data quality strategies need to focus on ensuring that future information capture is accurate.
Posted by Paul Newman