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

ING Investment Management Has Banned the Term ‘Golden Copy’, Says Murphy

Subscribe to our newsletter

Proving that for some institutions the approach to data management is changing dramatically, Nick Murphy, data specialist for pricing and evaluations at ING Investment Management, told delegates to last week’s FIMA that his own firm has banned the term “golden copy” from use. The focus is on maintaining centralised and standardised data for instruments, but it is also about meeting the requirements of the internal business users, he said.

The number one priority for data management is to get recognition of the fact that reference data is an asset to an organisation, said Murphy, reprising a theme that many other speakers elaborated upon at this year’s FIMA. It is often undervalued by the business and quality is frequently sacrificed to lower costs, he said.

Other priorities at the moment include coping with the globalisation and standardisation of data by tackling the issue of data governance (a point also raised by fellow buy side representative from UBS Ian Webster) and the continual challenge of dealing with a siloed environment. In order to help it deal with this environment, the firm is currently implementing a new data management solution from Cadis for its static and market data, which Murphy hopes will allow it to better judge data completeness and accuracy.

“Everywhere I have worked I have seen the difficulties caused by letting end users change or create classifications downstream,” he said. “Changing data fields and attributes at the individual business level causes a lot of complexity down the line.” By having a centralised structure to monitor data quality across the institution, Murphy anticipates that some of these problems can be picked up more easily.

Firms also need to draw up quality indicators on data to check whether their requirements are being met by vendor systems and internally built solutions, he suggested. To this end, Murphy is keen to draw up internal client service level agreements (SLAs) in order to ensure data quality is being maintained.

Murphy noted that vendors have been slow to properly service the needs of the buy side, however, many firms are also unsure about the requirements of their own internal end users. “The industry has to be brave but cautious about what we opt to do with vendors in a managed services environment, for example,” he said. “You don’t want to give away control over your data quality.”

So, vendors may have their faults, but they can be useful partners in bringing technology expertise to the table, according to Murphy. “Don’t bash your vendors too much,” he joked. “They are people too.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Mastering Data Lineage for Risk, Compliance, and AI Governance

Financial institutions are under increasing pressure to ensure data transparency, regulatory compliance, and AI governance. Yet many struggle with fragmented data landscapes, poor lineage tracking and compliance gaps. This webinar will explore how enterprise-grade data lineage can help capital markets participants ensure regulatory compliance with obligations such as BCBS 239, CCAR, IFRS 9, SEC requirements...

BLOG

Being Prepared for Tomorrow Requires an Advanced Data Architecture Today

By Don Huff, Global Head of Client Services and Operations, Bloomberg and Maureen Gallagher, Head of Enterprise Reference Data, Bloomberg. Data has quickly become the hottest commodity in the financial sector: trading and investment teams are laser-focused on accessing the best, newest data to get an edge on the competition. While this arms race for...

EVENT

TradingTech Briefing New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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,...