Recorded Webinar: How to establish data quality and data governance for analytics22 April 2021
Data quality has been a perennial problem for financial institutions for many years, but this needs to change as firms become increasingly reliant on accurate analytics to deliver business opportunity and competitive advantage.
New approaches to data quality can help firms up their game and significantly improve their analytics capability. Adding the processes, controls and responsibilities of data governance takes them a step further by ensuring the quality and security of data used across the organisation.
If your organisation is falling short of achieving timely and meaningful analytics, or is doing well but could do better, join this webinar to find out how to establish the underlying, yet all important, essentials of data quality and data governance.
Listen to the webinar to find out:
- 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
Ellen Gentile, Director of Enterprise Data Quality & Data Quality Incident Management, Sumitomo Mitsui Banking Corporation
Viral Vyas, Manager – Global Risk Analytics, HSBC
Nick Jepson, Financial Services specialist, Semarchy
David Tabit, Global Head of Technical Operations and Equities for Bloomberg Data, Bloomberg
Matt Flenley, Marketing & Partnerships Manager, Datactics
Moderator: Sarah Underwood, Editor,
More about our speakers:
Director of Enterprise Data Quality & Data Quality Incident Management
Sumitomo Mitsui Banking Corporation
Ellen Gentile is the Director of Enterprise Data Quality & DQ Incident Management for the SMBC Americas Division of Sumitomo Mitsui Banking Corporation. Ellen has over 20 years of experience in the financial services sector and has worked in various capacities for companies such as Cowan & Company, Morgan Stanley, Bank of America, Bank of America Securities and Pershing, LLC. As SMBC’s data quality manager, Ellen works assiduously to establish and implement all facets of a comprehensive data quality program at the SMBC Americas division.
Manager – Global Risk Analytics
Viral has 15 years of Data and Analytics experience in Risk Management across markets. He has strong experience in Data Analysis and Strategy, Data Quality and Governance, MI Development, Requirements Gathering, Data Lineage and associated Source To Target Mapping. He has helped the bank adhere to BCBS Principles by identifying CDE’s, documenting lineage, setting up data quality and helping IT build strategic solution. He is currently leading Requirements gathering and testing for a Risk Strategic Solution that will not only help achieve adherence to Basel 3 Reforms and other Regulations but also improve the way data is stored, managed and accessed across Risk.
He is Certified Associate Data Management Professional and a member of DAMA UK.
Financial Services specialist
As a Financial Services specialist I have worked in major consultancies and directly for tier 1 banks in transformation roles.
Nick has over twenty years’ experience of successfully implementing business and technology change. Nick has worked on regulatory remediation, bespoke and package/product system implementation, cost reduction, simplification, and business strategy.
Global Head of Technical Operations and Equities for Bloomberg Data
David Tabit is the Global Head of Technical Operations and Equities for Bloomberg Data. David began his career at Bloomberg in 2001 as an equity research analyst. In 2010 David founded the Global Data Technical Operations Department, a cornerstone of Bloomberg Data, and a unique fusion of domain experts, technologists, and business analysts. In 2018 David also assumed the role of Global Head of Equities Data, bringing his experience in transforming business processes through technology to one of the company’s more important product sets. David graduated from Towson University in 2000 with a BS in Accounting and Information Systems.
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