Financial Services: How to establish data quality & governance for analytics

Presented by

Nick Jepson, Semarchy; Viral Vyas, HSBC; David Tabit, Bloomberg

About this talk

Financial institutions have always had an issue around data quality, but as accurate analytics become increasingly vital the industry must find new solutions. These new solutions can help organizations improve data quality via new approaches, like an Intelligent Data Hub. The added processes, controls and responsibilities of a data governance program are easily implemented this way. Industry experts from HSBC, Bloomberg and Semarchy participated in a moderated discussion around the financial industry and the essentials of data quality and governance. Topics covered included: - How to establish data quality - How to implement effective data governance - The benefits of combining data quality and governance - The best technologies and tools for these tasks - How to ensure accurate and meaningful analytics
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Semarchy, a leader in the data integration and master data management markets, enables organizations to rapidly generate business value from their data. Its unified platform enables organizations of any size, to quickly discover, govern, manage, integrate, and report critical information scattered across applications. Semarchy is available as an on-premises platform, is natively available on most popular cloud marketplaces such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), and managed as a service and is supported by a rich ecosystem of software-as-a-service and professional service partners. Semarchy is based in Phoenix, USA with offices in London, UK; Lyon, France; and Mexico City, Mexico.