Smals: Data Quality and Financial Risk
Smals is a government controlled Belgian ICT services organization that assists around 100 institutions in managing their IT infrastructure, services, and data to help deliver public services more efficiently. Smals’ members are primarily found in the healthcare and social security sectors and include the Crossroads Bank for Social Security, the National Social Office, the Egov association, and the Belgian eHealth platform.
Smals’ Data Quality Competency Centre, part of Smals research department since 2004, provides guidance for its members, coaching, and training for data stewards, as well as project oriented consultancy. Data quality has always been a crucial aspect of its work and Smals needed more robust data matching and data quality capabilities to support the business objectives of its diverse range of member institutions.
“We needed a data quality solution that matched our data quality ethos and where the standards would be scalable for the very large data sets that we manage. We found Precisely’s solution to be easy to use, powerful and capable of the level of complex fuzzy matching that we needed” said Dries Van Dromme, Data Quality and Analytics Consultant, Smals. “Most importantly, though, it supported and improved the work of our diverse range of members.
Read this case study to learn more about the challenges facing Smals eHealth Platform such as; identifying financial risk, regulatory compliance issues, and social fraud using sophisticated data quality techniques.