“The common denominator in all successful projects was that the initial cleansing process was the most painful element in each effort. Firms were surprised at how low their initial data quality measured prior to cleansing. This is also the area executives and project sponsors pushed hardest on the people responsible for delivering the projects. The issues being raised by executives around project approval generally stem from the time it takes to do this process versus the cost of the effort. Data managers frequently have to push back against delivering bad data quickly, versus taking the time and effort to deliver accurate data. In some instances, that push back is made easier after the data manager lets the Business Intelligence experience pain from the bad data. Ultimately, the Return on Investment (ROI) is data quality and lower risk.”

Link to External Resource: Red Light, Green Light – Playing the Risk Game | PDF

Source: Adam D. Honore, Aite Group

See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Best Practices