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: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...