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

A-Team Insight Blogs

Managing Data Technology Remains a Challenges at Enterprise Level, DMRAV Delegates Told

Subscribe to our newsletter

Proving return on investment (ROI) while attempting to take an incremental approach to enterprise data management projects remains a significant challenge for managers seeking sign-off for EDM projects, delegates at A-Team’s Data Management for Risk, Analytics & Valuations conference in London heard.

According to panellists on the event’s discussion on ‘Technology Challenges of Building an Enterprise Data Management Infrastructure’ session, EDM projects remain a challenge irrespective of the current economic climate. Colin Gibson, head of data architecture for Royal Bank of Scotland’s Global Banking and Markets division told the audience that in good times, internal clients were in a hurry to realise the fruits of data management projects, while in bad times they were reticent to spend.

Notwithstanding the financial climate, panellists agreed that consistency and content coverage were key attributes of any project to unify internal data. While good data governance helps, they said, education is also a major factor to ensure internal clients understood the benefits they would receive, and most importantly when they could expect to receive them.

Christopher Thompson, vice president, reference data, in the Securities Services Department of Mizuho International, said the days of ‘blue-sky’ EDM projects were likely over. Victoria Stahley, associate director and senior project manager at Royal Bank of Canada, said users should get used to the idea that projects may not simply take a year, and could take longer to bear fruit.

The panellists, including Thomson Reuters global head of enterprise data management, Sally Hinds, expressed some appetite for outsourcing some of the data management process, possibly to a data utility. At the same time, they conceded that certain elements of a firm’s data relied on heavy customisation, and would be difficult to outsource to a third party.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

The Next Frontier in Best Execution Is The Data Layer

By Arun Sundaram, head of commercial data and analytics, LMAX Group. Best execution was once about securing the strongest possible result for clients on an individual trade. Over the past few decades, the industry has become much better at measuring that outcome through fill rates, slippage and rejection ratios. But the next frontier isn’t the...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...