About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

New York Data Management Summit: The Challenges and Opportunities of Data Governance

Subscribe to our newsletter

The importance of data governance in financial services firms has never been greater as regulators scrutinise not only data but also its quality and business executives begin to understand data as a valuable asset. Reflecting the growing importance of data governance, A-Team Group addressed the problems it poses and the opportunities it presents at its recent Data Management Summit in New York City.

Andrew Delaney, chief content officer at A-Team, led the discussion and was joined by industry experts John Fleming, head of enterprise data governance at BNY Mellon; Dessa Glasser, chief data officer at JP Morgan Asset Management; Dale Richards, managing director of consultancy Island 20 Ventures; and John Yelle, vice president of data services at DTCC.

Delaney started the conversation by asking which regulations are causing firms most pain in terms of data governance. Not unexpectedly, the experts’ answer was BCBS 239, which shines a light on data quality and the importance of data governance. They also noted elements of Dodd-Frank, regulations mandating the use of the emerging Legal Entity Identifier and requirements for ‘as at’ historical data. Richards commented: “Pain points and opportunities often occur at the same time. The ability to solve a data problem for regulatory purposes can provide opportunities for new analytics and value add. Data quality is also important. Nobody cared about it 20 years ago, but people do care about it now and know that without quality data, reporting can produce garbage.”

Fleming agreed that regulation is a driver of data governance, and added: “Looking more broadly, firms have vast amounts of data. Data governance provides an opportunity to look at data as an asset and at ways to drive change for the business. The reality is that we must manage data and its growth in volume on a scale we have never seen in the past. Then we must consider how to use data to improve customer satisfaction, deal with operational costs and reduce risks.”

Considering whether we have reached the peak of regulation this year, Yelle cautioned: “We have not reached the peak and it would be dangerous to assume that we are going over a hump. We are on a plateau, there won’t be any relief any time soon and we won’t go downhill for a long time.”

Discussing why the practice of data governance is important, Glasser said: “Governance is a framework that allows you to look at data as an asset that you need to cultivate and maintain. It is critical to understand what data we have, how we define it, use it and understand its lineage. It must be presented in terms the business understands and must be put into business use.”

Explaining the implementation of data governance, Fleming said: “We have a new programme at BNY Mellon. The first phase will build out processes, roles and responsibilities. While different people have different views of governance and data ownership, for me it includes a business glossary, data dictionary, data quality, data stewardship and data lineage. My programme also has three other tracks, communication, change management and learning. BNY Mellon includes 55,000 people and I must touch all of them and get them to change their behaviour. This makes change management the biggest part of the programme.”

Responding to a final question from Delaney about whether data governance is a sprint or a marathon, Richards concluded: “It’s a marathon, it’s about data as a long-term asset. Within the broader data management imperative, it is the core piece.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: How to leverage Generative AI and Large Language Models for regulatory compliance

Date: 8 May 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Generative AI (GenAI) and Large Language Models (LLMs) offer huge potential for change across capital markets, not least in regulatory compliance where they have the capability to help firms understand and interpret regulations, automate compliance, monitor transactions in real...

BLOG

Asset Managers Identify Top Data Management Challenge as Eliminating Errors

Market volatility, rising interest rates, and fee and margin compression are causing decision makers at asset management firms to call for improvements in data management to better inform investment decisions and address the needs of regulatory compliance, risk management and client engagement. According to research commissioned by InterSystems, a data technology provider, the top data...

EVENT

ESG Data & Tech Summit London

The ESG Data & Tech Summit will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.

GUIDE

Regulatory Data Handbook 2023 – Eleventh Edition

Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new...