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: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

Overcoming Data Challenges of Rapidly Evolving ESG Space: ESG Data and Tech Briefing Preview

The rapid maturation of ESG data integration and utilisation within financial institutions has forced them to invest in new technology and data management processes. The rate of change, however, has been a challenge for some organisations, which have struggled to put in place the necessary capabilities to absorb, order and deploy such large volumes of...

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

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...