Recorded Webinar: Four categories of entity data quality management11 October 2016
We all know entity data is difficult. But there are four key categories of data quality management that you can apply to make measurable improvements to your entity data.
Traditional methods no longer work. You need methods to accurately measure the quality of your data and give you the ability to take meaningful action.
In this webinar we discuss:
- The biggest challenges with managing entity data quality
- The four categories of data quality management
- You can’t manage what you can’t measure. So how can you measure the quality of entity data?
- Traditional vs modern methods for measuring entity data quality
- Understanding the scale of ongoing entity data maintenance challenges
- The impact of utilities and industry initiatives such as LEI on data quality
More about our speakers:
Tony Brownlee is a Kingland partner and board member, responsible for leading and setting the company’s Data Science and Research strategy worldwide. Mr. Brownlee has been instrumental in leading complex data and software initiatives at Kingland, as a founding member of the Kingland team that built the company’s first data platform, to his work with the Legal Entity Identifier (LEI) developing the first LEI platform in the world for DTCC. Mr. Brownlee’s leadership extends across the company as he has managed numerous operational, product development, business development, and client relationship management functions for the company. Tony worked closely with US regulators for more than four years on the Consolidated Audit Trail and is a leading expert on customer and account data and regulatory reporting issues. Mr. Brownlee is recognized as a thought leader in financial services and data topics and speaks regularly on data quality, data governance, data standards, legal entity and hierarchy data, and cognitive technologies and has served on various committees including the Securities Industry Financial Markets Association (SIFMA); the International Standards Organization (ISO); the Financial Stability Board (FSB) for the LEI; and the Enterprise Data Management Council (EDMC).
Executive Director of Enterprise Data Management
John is a Vice President in Data Services at DTCC responsible for the Enterprise Data Management program including Data Governance and Master Data Management. His almost 30 years of experience include 19 years at DTCC in various roles in IT, architecture and business primarily focused on Data Management solutions.
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