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

A-Team Insight Blogs

How can you manage what you can’t measure?

Subscribe to our newsletter

John Bottega, chief data officer at Citigroup Corporate and Investment Bank, got FIMA 2006 in London off to a lively start earlier this month with a rousing speech congratulating the assembled reference data managers on how far they’ve come. Indeed, the invention of chief data officers is in itself a testament to the fact that the business focus of reference data management projects is better understood, and that these firms appreciate the major driver for data improvement is risk as opposed to merely cost. “It’s no longer seen as a ‘data geek’ problem,” he said. “Data management has experienced a paradigm shift. It’s not just about technology, it’s about the content: how it’s sourced and maintained. More and more, the maintenance of data is moving out of technology and into the business. It’s not just about cost – it’s about risk, including reputational risk.”

He also outlined another important shift, though – away from the “monolithic”, big bang approach, towards an approach based around “small, incremental deliverables”. “I tell our folks, the 2007 objective is to get the 2008 budget approved,” he said. Although it is clear major reference data initiatives will be multi-year projects, it is vital to focus on what is important to the business and to bring benefits to the business in an “immediate timeframe”, he added.

Bottega’s message that firms must find a balance between the strategic and the tactical was one delivered again and again by speakers during the event – and was brought home especially forcefully by Valerie Malaval of AXA Investment Managers in her presentation later the same day. She described how at every stage of AXA IM’s multi-year data project she is required to calculate and then demonstrate the ROI on its investments in data and services – and shared her policy of delivering “quick wins” to the business on an ongoing basis, as the ultimate goal is worked towards.

Malaval also highlighted the importance of having metrics in place to help to prove the benefits reference data improvement projects are bringing. The need for metrics was another consistent theme of the event, no doubt music to the ears of the much-in-evidence Mike Atkin, since establishing metrics is one raison d’etre of the EDM Council of which he’s head. As Bottega said, though “metrics are elusive”.

While it’s certainly true you can’t manage what you can’t measure, there is a need to ensure you’re measuring the right thing, as a cautionary tale from Peter Serenita, chief data officer at JPMorgan Worldwide Securities Services, ably demonstrated. JPMorgan has set up two reference data operational hubs, one in Delaware and one in Mumbai, and in the early stages of their operation one of the metrics the bank applied was around volume. The only problem was that one hub interpreted a request from the business as one piece of work, while the other interpreted a request affecting two systems as two pieces of work. Until this discrepancy was understood, it seemed, quite erroneously, that one centre was handling double the volume of the other. The reference data industry has undoubtedly matured – thanks in no small measure (as Bottega said) to conferences and newsletters dedicated to covering it – and among the many other challenges it still faces, as outlined by the great and the good at FIMA, is that of developing effective benchmarks by which to measure its increasing successes.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

As Finance Sector Workers Embrace AI, Study Warns ‘Be Careful What You Wish For’

The potential real-world impacts of hastily deployed artificial intelligence rollouts have been highlighted in new reports that underscore the need for better-quality data and greater literacy in the technology. Financial firms that don’t invest in creating greater workforce awareness of how AI tools can be used are at risk not only of failing to optimise...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...