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

A-Team Insight Blogs

Data Management Summit: IBM and GoldenSource Unveil Reference Data Utility Solution

Subscribe to our newsletter

IBM used its participation in A-Team Group’s Data Management Summit last week to unveil details of its partnership with GoldenSource to deliver a reference data utility. The partners are running the GoldenSource enterprise data management (EDM) platform in the IBM cloud to provide the utility and are talking to prospective clients that are considering the adoption of data mutualisation.

According to Christopher Rigg, a partner in IBM Global Business Services’ financial services industry business, “Financial institutions must transform and reduce IT costs through outsourcing or mutualisation of non-core processes such as reference data processing. We see clients looking at the concept of mutualisation more than in the past and focussing on what it means to them.”

IBM already operates six utilities, three of which are dedicated to the financial services sector and include Algo Risk Service – an on or off cloud solution developed via its Algorithmics acquisition of a couple of years ago – and Securities Industry Services, a solution that provides brokerage transaction processing to the Canadian securities industry.

Turning its attention to reference data, IBM partnered with GoldenSource last year and has developed IBM GDU (Global Data Utility), an open and independent, multi-tenanted, data-agnostic utility offering flexible data distribution models.

Rigg said: “The utility adds a layer of value on top of a managed service, which is essentially a utility for one. The benefits of a utility in the reference data space include significant cost reductions, shared investment, an optimised cost model and distribution options. Utilities are independent of the data supply chain and are beginning to be adopted by industry.”

Like IBM, GoldenSource – itself once an IBM company – has experience in the provision of utility solutions. HSBC, by way of example, uses the GoldenSource EDM platform as an in-house utility shared by a number of business lines, while the Australian Securities Exchange provides a utility or its markets based on the platform.

Acknowledging the difficulties encountered by previous initiatives to build reference data utilities, Rigg commented: “The blocker was the perception of a utility as being one-size-fits-all. Different parts of the world have different data preferences, so a utility cannot be one size. For example, not all businesses want to fully outsource data management. They need flexibility in the types of data and distribution models they can access, perhaps maintaining their own EDM systems but getting data from market vendors cleansed by the utility.” The partners are also flexible about where the utility is run, with Rigg suggesting it could be run by IBM or by a consortium of banks for the use of its members.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building and Scaling Data Products and Marketplaces to Deliver ROI

Date: 10 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions hold some of the richest data in any industry, but much of it is hard to find, hard to trust and slow to reach the teams that need it. As they scale their AI and analytics programmes,...

BLOG

Semantic Frameworks Slow to Gain Traction Despite Criticality to Data Democratisation: Webinar Review

Semantic layers have become critical to financial institutions as they have expanded the use of artificial intelligence agents and widened staff access to them. The sophisticated interfaces give non-technical users the ability to guide agents to interact with their firms’ data and build efficient workflows. And yet, few organisations have really got their teeth into...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

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...