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

In Search of the King of Holy Grails: ROI

Subscribe to our newsletter

Return on investment is a recurring theme in reference data management. And the reason seems to be that no one can figure out how to measure it. Recent issues of Reference Data Review have been littered with references – excuse the pun – to the importance of managing expectations with respect to ROI on enterprise-wide reference data projects. Project leaders from major institutions have sought very senior management buy-in for their initiatives, but aren’t attempting to hedge on the return front. Rather, they are aware of the difficulty of showing a black line-item representing the measurable dollar gain from such a project.

At Centaur Conferences International’s highly informative session in London late last month – Implementing Efficient and Effective Reference Data Management in Institutional Finance – delegates and presenters again lamented the lack of useful measures of ROI for reference data projects. As moderators of the day-long conference, we picked up on a groundswell of not frustration as such, but of a certain irritation that ‘obviously’ useful projects were being caught in gestation phase by the absence of solid assessments of ROI. Meanwhile, at another London reference data event – organized by City Compass – delegates wondered whether establishing an ROI was even possible. This irritant apparently is not confined to the London marketplace either. Reading through New York-based Accenture’s recent white paper on data management services, we stumbled across similar anxieties. Listed among the obstacles facing a successful reference data project was “Lack of a Quantifiable ROI: Achieving breakeven on a major transformation can take two to three years after completion. And most benefits consist of downstream operational efficiencies, making it difficult to quantify the business benefits because of the fragmented and dispersed nature of data processing.” So what’s a reference data project leader to do? Help may, in fact, be at hand. A conversation at the Centaur event revealed that it’s not just the lonely project manager who’s in search of this most Holy of Grails. Sandy Throne, a director at the Depository Trust & Clearing Corp., and member of the TC68/SC4/WG10 and WG11 committees, and Tony Kirby, of the Reference Data Users Group (RDUG), suggested that the search has grown in momentum, with growing involvement from industry bodies like the Financial Information Services Division, the Securities Industry Association and the International Securities Association for Trade Communication. “We (ISITC, SIA, FISD) feel there should be a model that firms can use to show their ROI to move the reference data projects ahead,” says Throne. She points to a good first step, Barclays Global Investors’ Margret Hibschman’s presentation last month on the ROI her firm realized and how it was done. The presentation is to be posted on the ISITC web-site imminently and will be worth checking out.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...