Upcoming Webinar: Best practices for creating a data quality framework for your organisation24 March 2020
Date: 24 March 2020
Time: 10:00am ET / 3:00pm London / 4:00pm CET
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.
Register for 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
James Whale, Head of Data Quality Management, Deutsche Bank
Ellen Gentile, Director of Enterprise Data Quality & Data Quality Incident Management, Sumitomo Mitsui Banking Corporation (SMBC)
Neil Sandle, Head of Product Management, Asset Control
Alex Brown, Chief Technology Officer, Datactics
Moderator: Andrew Delaney, Chief Content Officer,
More about our Speakers:
Head of Data Quality Management
James Whale FCA, A Chartered Accountant who has more than 20 years’ experience managing banking control functions, building P&L tools and processes. For the last 4 years has focused his energies as Head of Data Quality Management in Deutsche Bank’s Chief Data Office.
Head of Product Management
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
Alex is Chief Technology Officer at Datactics with over 20 years’ experience in software development and technical innovation. Formerly Head of DART Development at Vela (formerly SR Labs), and Market Data Technical Consultant at NYSE Euronext, Alex leads technical development of the Datactics Self-Service Data Quality & Matching Platform.
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