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

An Incremental and Practical Approach to Data Integration is Best, Agrees Golden Copy Repository Panel

Subscribe to our newsletter

In order to ensure that downstream departments remain in synch with central data management projects, firms must adopt an incremental and practical approach to data integration, agreed FIMA’s panel on the practicalities of managing a golden copy repository. Peter Giordano, executive director of institutional equities at Oppenheimer & Co, recommended that firms roll out the projects piece by piece rather than take a big bang approach to data management.

Chris Johnson, head of data management, Institutional Fund Services, Europe, for HSBC Securities Services, told delegates to focus on meeting the needs of “downstream consumers” by getting users around the table to discuss their data needs. “You also need to allow for differences across client groups,” he said.

Julia Sutton, global head of customer accounts operations at Citi, agreed that communication with user groups is key: “You need to let them vent and tell you the problems they are experiencing as well as what they want from their data in the future.”

Giordano also contended that time should be well spent before a project is launched to think of all the possible future requirements of the data system from user groups. He warned delegates to be aware that future data requirements may be changed by events such as mergers and acquisitions.

HSBC’s Johnson said that standardisation can only go so far as there remain complex downstream issues that cannot be standardised. “You should attempt to tackle as much as you can but understand that this cannot be done for every single area,” he said.
Sutton added that the data management endeavour is similar to “constant firefighting” and teams need to “keep digging away at it” to succeed.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Why AI is Making Data Ownership a Business Imperative

By Edgar Randall, UK&I Managing Director, Dun & Bradstreet. As AI becomes the engine of modern business, the question of verifiable data ownership is no longer theoretical, it’s central to how organisations build trust in AI-driven decisions. The rise of AI means models depend entirely on the quality and integrity of the data they consume....

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...