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

Poll Results: Operational Risk and Cost Top List of Concerns for RDR Readers

Subscribe to our newsletter

Operational risk and the desire for greater cost savings are the key issues driving financial institutions to invest in their data management infrastructure, according to the latest results of our reader poll. This result is unsurprising really, given the focus on doing ‘more for less’ in the current financial climate.

What is perhaps more surprising is that regulation and compliance are not affecting these projects, despite the recent increase in regulatory scrutiny and predicted increase in compliance spend. Not a single respondent to the Reference Data Review poll highlighted regulation and compliance as a driver for investment in data management. Also out of the spotlight were reputational risk and M&A, each failing to garner any votes as priorities driving data spend.

Operational risk topped the list with 50% of the vote, closely followed by cost savings at 33%. The remaining 17% was attributed to the ‘other’ category, which one can only assume means factors such as improvements to client servicing and the desire to improve data quality.

The obvious reason for this result is that the reduction of operational risk and cost are easier wins when championing the issue of data management within an institution. Senior management’s strict scrutiny of ROI for projects in the current environment means data management projects must provide tangible metrics such as cost savings to get the green light.

The reduction in headcount over the last six months across institutions also means that they have to find alternatives to people to throw at the problem and automation and data centralisation are apparent solutions.

The results of the poll confirm that risk is very much a concern in the market, as noted by a number of recent research reports into the area of data management. But it is surprising that regulation is not a key concern, despite the high profile that regulators are maintaining at the moment. Perhaps the results will tell a different story in six months’ time, once the regulatory ball gets rolling and the market is faced with the prospect of coping with increasingly strict oversight policies.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Scraping at Scale: Where AI Actually Helps, and Where It Doesn’t Yet

“AI web scraping that doesn’t break” was the title given to a fireside chat at the recent A-Team/Eagle Alpha Alternative Data Conference London – a phrasing that is, on its own terms, aspirational. Pipelines that self-maintain through site changes, schema drift and content shifts remain a destination rather than a current reality, and the session...

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

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...