Poor data quality is the single biggest contributor to the poor performance of customer risk-rating models

Poor data quality is the single biggest contributor to the poor performance of customer risk-rating models. Incorrect know-your-customer (KYC) information, missing information on company suppliers, and erroneous business descriptions impair the effectiveness of screening tools and needlessly raise the workload of investigation teams. In many institutions, over half the cases reviewed have been labeled high risk simply due to poor data quality – McKinsey

Turning “No” into “Yes” through data governance

Data governance has become associated with the word “No.” This is the intriguing start to a recent IDC perspective discussing how Cox Automotive bucked the trend and used data governance to become the “Yes” team – delivering the right data to the right person at the right time. The report, which can be accessed here,…