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

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Hidden Dangers in the Race to ‘AI-Readiness’

The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Entity Data Management Handbook – Second Edition

Entity data management is this year’s hot topic as financial firms focus on entity data to gain a better understanding of customers, improve risk management and meet regulatory compliance requirements. Data management programmes that enrich the Legal Entity Identifier with hierarchy data and links to other datasets can also add real value, including new business...