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

Talking Reference Data with Reference Data: Maximising Utility

Subscribe to our newsletter

It comes as no surprise at all that the managed services panel at our Data Management Summit in London next week is the most oversubscribed. Everyone wants to be on it.

That reflects the mood in London that I’ve picked up on in recent months. The concept of outsourcing data management to a third party is now being perceived by the movers and shakers of our industry as something at least to be considered, if not fully embraced.

That’s a far cry from the lack of interest that dogged earlier attempts, from such pioneers as Greg Smith’s Cicada Cos., which gave up on their plans for a reference data utility a decade ago when it seemed there was little overlap in requirements among potential clients. Each client thus became a consulting project, squeezing out all potential for economies of scale and resultant savings all round.

Our DMS panel – reflecting the state of play – is crammed with managed services proponents and practitioners: Tom Dalglish of UBS, who’s been leading one of the most ambitious utility initiatives with the help of iGate and Patni (and Markit EDM?); Diarmuid O’Donovan, now CDO at Legal & General, who was instrumental in the lift-out of UBS Asset Management’s Luxembourg-based entity data platform to form Tech Mahindra’s new utility offering; Citisoft’s Jonathan Clarke, who is leading the Tech Mahindra initiative; Martijn Groot of Euroclear, which has partnered with SmartStream to offer the Central Data Utility platform; and Steve Cheng of RIMES Technologies, which has been offering the buy side managed reference data services for quite some time.

And still there are more. As I’ve mentioned before, Wipro has been working on an LEI utility concept, Goldensource has its own hybrid model, and NYSE Technologies has quietly recruited four of the largest sell-side firms (and Asset Control?) in support of a more wide-ranging reference data utility.

We’ll be discussing the pros and cons of the utility approach at the conference next Thursday. In a nutshell, however, protagonists reckon the utility model represents the last great chance to shave operational costs of data without losing, erm, utility (in the economic sense). Indeed, some have estimated industry savings of a wholesale adoption of managed/utility-based reference data services of upwards of 300 million (of your chosen major currency). That, combined with the belated acceptance that technologies like cloud may not after all pose a massive security threat if managed properly, appears to have turned the heads of data professionals. We’ll find out whether that’s the case next week.

On the flipside, utilities like this can only succeed if everyone plays ball. In an earlier life, I had the pleasure of trying (and failing) to get a market data utility concept off the ground, based on the then-somewhat flimsy dot.com technologies and delivery systems. High on the list of the many factors that made this proposition unfeasible at the time – the others include some of those listed above – was keeping content and functionality providers on board with the concept.

The whole thing falls down if partners break from the pack to secure their own deal with a client. This applies equally to information providers and those who provide technical infrastructure, all of which can come under tremendous pressure to do side deals that bring in immediate financial benefit. Once again, this will be one of the topics for discussion on our panel next week.

So, if you haven’t registered, I’d urge you to do so now. As well as learning a lot – I always do – and networking with your peers, you’ll also get the benefit of watching me dole out the first ever set of A-Team Data Management Awards.

Register here.

See you next week!

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

A-Team Group Announces Winners of the AI in Capital Markets Awards 2025

A-Team Group has announced the winners of the inaugural AI in Capital Markets Awards 2025, celebrating the most innovative and impactful applications of artificial intelligence and machine learning across the global financial markets. The new awards programme recognises technologies that have moved beyond proof-of-concept to deliver measurable value, supporting efficiency, resilience, and insight generation across...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Solvency II Data Management Handbook

Want to get a handle on Solvency II and what it means for data management? Need to make sure you have all the bases covered for the looming January 2016 deadline? Our Solvency II Data Management Handbook is now available for free download to help you. This Handbook is the ultimate guide to all things...