Recorded Webinar: Best practices for creating a data quality framework for your organisation24 March 2020
Bad data affects time, cost, customer service, cripples decision making and reduces firms’ ability to comply with regulations. With so much at stake, how can financial services organisations improve the accuracy, completeness and timeliness of their data? What approaches and technologies are available to ensure data quality meets regulatory requirements as well as their own data quality objectives?
This webinar will discuss how to establish a business focus on data quality, how to develop metrics as well as experiences of rolling out data quality enterprise wide. It will examine fixing data quality problems in real time and how dashboards and data quality remediation tools can help. Lastly, it will explore new approaches to improving data quality using AI, Machine Learning, NLP and text analytics tools and techniques.
Listen to this webinar to find out more about:
- Limitations associated with an ad-hoc approach
- Where to start, the lessons learned and how to roll out a comprehensive data quality solution
- How to establish a business focus on data quality and developing effective data quality metrics
- Using new and emerging technologies to improve data quality and automate data quality processes
Moderator: Andrew Delaney President and Chief Content Officer
More about our speakers:
Mark is a partner with Element22, a data and analytics consultancy firm. His career includes over 15 years managing data and risk functions for three tier 1 banks. This was followed by 6 years as the General Manager of Avox, a managed data service company owned by DTCC and later by Thomson Reuters. Mark has been with Element22 since 2018 where he leads the London office and helps clients from across the financial services industry to modernise and expand their capabilities in Data Management. His recent focus has been on helping clients to solve unstructured data and ESG data challenges, including launching the ESGi data platform.
Data Quality Leader
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.
Chief Product Officer
Neil is responsible for the overall product management functions at Asset Control, including defining and delivering on all aspects of the company’s product vision and strategy. He brings a wealth of product management experience in developing buy-side focused financial applications. Neil holds a master’s degree in Computer System Engineering.
Chief Technology Officer
Datactics CTO since 2019 with over 20 years’ experience in software development and technical innovation. He has extensive knowledge and understanding of product design and implementation, having previously worked as Market Data Technical Consultant at NYSE Euronext. Alex has an MPhil in Astrophysics from Queens University.
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