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

Available On-Demand 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 from private equity and credit, real assets, venture and hedge funds, as well as...

BLOG

Solidatus Updates AI to Give Agentic Boost to Workflow Speed and Scale

Data lineage and governance specialist Solidatus has expanded its AI capabilities in a new release that introduces enhanced AI Assistant functionality, bring-your-own-LLM support and new integrations designed to help organisations accelerate governance and data lineage workflows. In the summer, the company upgraded its service offerings with update 2026.3 the contains a set of capabilities that...

EVENT

TEST Event page 1

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...