Underpinning all data management initiatives is the fundamental need to get data quality right. Poor data quality can be costly, impact your customer service, lead to errors in your risk management and regulatory reporting, and more. But how do you go about improving your data quality? How can you use rules, standardisation and technology to make improvements? And how is ‘right’ measured?
![]() Moderator: Sarah Underwood, Editor, A-Team Group |
![]() Jayme Fagas, Global Head of Valuations & Transparency, Thomson Reuters |
![]() Matthew Rawlings, Head of Middle Office and Operations, Bloomberg L.P. |
![]() Dominique Tanner, Head of Business Development, SIX Financial Information |
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