Data Quality: Anticipating Data Errors

I was doing a series of training sessions on data quality at a rather large organization. During one of the breaks, one of the participants mentioned to me that the organization at some point had a data quality group, but that group had been disbanded a few years back. Apparently, some of the leaders (i.e., those who hold the purse strings) had decided that focusing on process improvement would obviate the need for data quality management. However, despite the process improvement activity, there were still known issues with the data, as well as criticism of the senior managers who had eliminated the data quality program.

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