Recorded Webinar: Best practices for creating a data quality framework for your organisation
24 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
Speakers:
Moderator: Andrew Delaney
President and Chief Content Officer
A-Team Group
More about our speakers:
Mark Davies
Partner
Element22
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.
Ellen Gentile
Enterprise Data Quality Team Leader
Edward Jones
Enterprise Data Quality Leader reporting to Principal and CDO of Digital Division at Edward Jones.
With over 20 years’ experience as a leader in financial services and data governance & quality, I have played a pivotal role in strategic enterprise data initiatives while focusing on delivering value through Agile deployments. Data Quality champion aimed at driving strategic enterprise data efforts including AI, which has been integral to achieving organizational goals and maintaining high standards of data governance.
Neil Sandle
Chief Product Officer
Alveo
Neil has built his experience over ten years at Eze Software and Trader, which is now part of the SS&C group, where he became Director of Product Management. His focus was on developing their portfolio management capabilities and moving to SaaS-delivered solutions. At Alveo, he is responsible for their Product Management group and the direction of their solution set and overall roadmap and has led successful new product rollouts such as our Ops360 UI and Alpha data warehouse to their customers.
Alex Brown
Chief Technology Officer
Datactics
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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