Upcoming Webinar: How to establish data quality and data governance for analytics22 April 2021
Date: 22 April 2021
Time: 10:00am ET / 3:00pm London / 4:00pm CET
Duration: 50 minutes
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.
Register for 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
Viral Vyas, Manager – Global Risk Analytics, HSBC
Matthew Rawlings, Chief Data Officer, Bloomberg
Moderator: Sarah Underwood, Editor,
More about our speakers:
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.
Chief Data Officer
Mathew Rawlings is Chief Data Officer for Bloomberg Enterprise. He designs products and content, and checks the data quality. He also runs Bloomberg’s Data Dictionary, which is used to power the intelligent linking and statistics used in the measurement of data quality. Known for leading ISO 20022 for 10 years, and contributions to FpML and FIX. He is a former Distinguished Engineer and CTO from the financial industry.
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