Moving remediation to business as usual
In cases where an automated or mass correction approach is applied, often it does not correct all of the data. There may be a difficult 20% of bad data that cannot be automatically matched and where a second approach has to be implemented. Often, difficult decisions need to be made on how far to go in correcting the data. For example, that last 20% might use a manual remediation approach such as 6 or 7. That might be so time-consuming that the cost of implementing it exceeds the benefit. In these situations, it may be most appropriate to apply the approach that gives 80% value and accept (temporarily at least!) the remaining data quality challenge. A “business as usual” remediation method could be applied for the remaining 20%.
To make this a bit clearer, here are further details on the real example in Table 8.5 where supplier bank details were missing:
- An organization’s ERP system found 65% of its suppliers were...
