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

DNB Nord Is Early Adopter of IBM’s New InfoSphere Reference Data Application

Subscribe to our newsletter

IBM has added a ready-to-run application for reference data management to its InfoSphere Master Data Management (MDM) platform. The so-called InfoSphere MDM Reference Data Management Hub v10 has been beta tested by banks including DNB Nord in Europe and was released by IBM as an electronic upgrade last week.

The application offers centralised reference data management, an interface that allows business users to define and manage reference data with little IT intervention and services supported by the MDM platform including security, data quality and audit. The platform is based on Java technology and works with most vendor relational databases including Oracle and IBM’s DB2.

Essentially, the solution is a new master data domain built on the InfoSphere MDM platform with its own data model, services and user interface for the management of enterprise reference data. It has been designed for users to ensure quick implementation and minimise IT involvement, and is aimed at helping organisations reduce business risk, improve enterprise data quality and enhance operational efficiency.

David Corrigan, director of strategy, IBM Information Management, explains: “Across the master data management market there are generic platforms, but customers then have to build models to manage particular data. IBM has built a reference data engineering capability, the only purpose built reference data hub in the market. Other vendors offer empty products with tools to build a model for reference data, but a pre-built solution is quicker and cheaper to implement. The IBM model includes tables that can be used to build or change reference data models. Its foundation is productised, but it can be customised.”

Features of the Reference Data Management Hub include: import and export of reference data in multiple formats; versioning and lifecycle management for reference data sets and mappings; role-based user interfaces for review, approval and publishing of reference data changes; centralised audit and security; reference data defined and managed as an enterprise standard; and transcoding services that support mapping and transformation of data from one application representation to another.

Exemplifying IBM’s approach to centralised data management and distribution of reference data to different systems in an organisation, Corrigan describes the management of Nomenclature des Activités Économiques dans la Communauté Européenne, or NACE, codes that group organisations’ according to business activities.

He explains: “Banks with operations in multiple countries must manage individual national NACE code sets and reconcile the differences across countries. The InfoSphere Reference Data Management Hub allows different versions of the NACE codes to be managed from a central point, simplifying the creation of mappings among different versions and supporting transcoding values across the data sets.”

Commenting on the role of the MDM in holding master data copies that can be accessed and distributed in near real time if required, he adds: “The MDM is a centralised domain that serves many applications, so it holds one version of the truth, but there are many different views of that truth depending on the applications using the data.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

11 June 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain...

BLOG

AI in Focus as Experts Meet in UK Capital for Data Management Summit London

Artificial intelligence has dominated the data management conversation in the past couple of years as organisations have recognised the technology’s potential to streamline operations, improve decision making and draw value from the data they use. A-Team Group has responded to the growing demand for intelligence on AI and has given the technology a keen focus...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...