Data Quality Assurance: Are automated processes being risk assessed for data quality, the accuracy of algorithms and outputs and is internal audit equipped to confirm that technologies are working as intended?

Quality control should be incorporated at every stage, with automated data validity checks and rules. As well as audit to check data consistency, completeness and accuracy, a moment of clarity comes when you realize that there will have to be no allowance given or forbearance offered for data quality even Read more…