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

A-Team Insight Blogs

Keep Your Data Vendors Close and Your Users Closer, Deutsche Bank EDM Head Says

Subscribe to our newsletter

Success in enterprise data management (EDM) programmes is dependent on education – of internal users, of data vendors and of the EDM team itself. So said Jim McCarthy, EDM programme manager at Deutsche Bank, speaking at FIMA 2007 in London earlier this month.

β€œIt’s a constant for us to ensure we can describe our data, that people understand what we have and how to use it, and that they have tools to easily use it, where possible in a self-service way,” he told delegates. β€œA lot of the issues we face are due to users having ready access to data but finding out further down the line that there is a vendor or set of attributes that could have better fulfilled their purpose.”

A firm’s relationship with its data vendors should be one of mutual education, he suggested. β€œWe have built up very strong relationships with our data vendors,” McCarthy added. β€œWe meet regularly. We educate them, they educate us. We make sure we are clearly in line with product releases and that we understand the impact of any changes on our users. And we make sure the data metrics we have created are clear to our vendors.” There is also a focus on ensuring these metrics are β€œpushed through to our users, so people have transparency on how data quality is achieved”, he continued.

McCarthy told the FIMA audience that β€œmaintaining good working relationships with operations is vital”. β€œWe need to understand how our data flows through their systems.” Under the auspices of the bank’s EDM programme – run by a steering committee that prioritises work and co-ordinates the management of larger change programmes while accommodating with the rapid time to market demands of tactical pieces of work – an effort has been undertaken to identify strategic projects within business lines β€œwith a strong reliance on the quality of our data”, he said. β€œOnce we identify a service with a dependency, we use our reporting to track the external and internal performance of our group and vendor groups,” he added, warning: β€œNone of this works unless you can start to show value.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments

Date: 7th October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha...

BLOG

Embrace the Threat: How Software Firms Can Head Off β€˜SaaS-pocalypse’

Recent stock market losses among software providers have prompted some analysts to predict a coming β€œSaaS-pocalypse” as software companies are threatened by artificial intelligence that can write code and build software quickly and cheaply. The doomsayers may be premature, however. While AI undoubtedly has the ability to supplant some of those firms, it also presents...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...