Quality Assurance Process in Data Stewardship
It appears there is a new quest for the holy grail in Master Data Management; autonomous processing. The hypothesis is simple. Given the proper set of business rules, robust master data management algorithms, and machine learning applications, the need for human review and intervention can be eliminated from the Data Stewardship process. I would argue not so fast. For the foreseeable future, there will always be the need for manual stewardship. While the new breed of technologies should reduce the length of exception queue, nonetheless the queue will continue to exist. Manual data stewardship drives quality assurance. The data stewardship exception queue requires manual reviewRead More →