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

Despite Lack of Standards, Legal Entity Data Will Become Centre of Data Operations

Subscribe to our newsletter

Although standards for legal entity data are likely to evolve over time and become more rigorous, there does not exist today a standard directory of identifiers for legal entities across global jurisdictions, said James Redfern, head of sales and marketing at CounterpartyLink. But with an average of 27% of company records held at financial institutions deemed inaccurate, firms need to figure out how to fix these problems and then continue to maintain the database in the absence of any industry standard, particularly in current conditions, he suggested.

Redfern said, “The entity is the key element in the middle; it will become the centre of data operations.” Key to managing entity data is getting the linkages right, he said, referring to both the linking of entity data, which can quickly become complex, but also linking of disparate sources to gather that information, be that the registration authorities, regulators, exchanges, or other sources. Said Redfern, “But the linkages are rendered worthless if the data it is linked to is inaccurate or not fit for purpose.”

He promoted CounterpartyLink’s Client Data Audit Report as a useful independent auditing service that could be used within business cases for senior management. But the audit can also be very useful for helping to prioritise cleansing and maintenance work, for example prioritising the higher risk entities over those with lower risk or less exposure.

Through conducting such audits for clients, Redfern said that the most common areas for data impurities were: ownership (12%), company name (8%), registered address/headquarters (7%), regulator (6%), registration (5%), and identifiers (4%).

At least one senior member of the US Federal Reserve had highlighted entity data as a key ‘broken’ factor in risk assessment, perhaps indicating a likelihood of further examination of the issue and potential regulation down the line. But as Redfern pointed out, “It is beneficiary to have standards, but business will continue without them.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Integrating Intelligent Machine Readable News

Intelligent machine readable news is a powerful tool in the arsenals of trading and investment firms seeking competitive advantage. It turns unstructured data into actionable insight and can be used, for example, to uncover market trends, identify correlations and evaluate sentiment. In turn, it can inform quant strategies and predictive models. While machine readable news...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

Eagle Alpha Alternative Data Conference, Spring, 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

MiFID II Handbook – Second Edition

With the compliance deadline for Markets in Financial Instruments Directive II (MiFID II) just over two months away, A-Team Group has updated its MiFID II handbook to bring you the latest details on the regulation’s compliance requirements. Version 2 of the handbook, commissioned by Thomson Reuters, also includes new sections covering data sourcing and data...