Catching Data Integration Flaws
Credit Suisse's Gerald Le Donne talks about how to best position and execute data quality assurance efforts
For a global firm such as Credit Suisse with "front-to-back" environments for collecting and organizing data from trading that can be expensive to maintain, finding ways to catch problems and reduce the time needed for processing can be challenging.
"Banking systems have been developed with managed interfaces. Some are file-based; some are message-based; but they're all managed," says Gerald Le Donne, global head of QA risk and finance at Credit Suisse, who leads quality assurance data work for
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