Our client, a large retail bank, was interested in assessing the data quality of their customer data, specifically with respect to understanding how any data gaps or data quality issues might impact the effectiveness of their sanctions and PEPs screening.
The client was aware of certain data quality issues related to the completeness and accuracy of customer data, but was unsure of the extent of the issues, and with over 80 different data sources of customer data and more than 10 million personal and organisation customer records, undertaking a comprehensive data quality review of all customer data presented a challenge.
SQA Consulting has an automated data quality assessment tool, the Data Profiler, designed specifically to analyse large volumes of data quickly and easily. It is fine-tuned to focus on those data types that have a particular focus for customer sanctions and AML screening, including:
SQA proposed a small team of 3 people, who would use the Data Profiler tool to undertake an assessment of all customer records for data quality and data completeness.