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

A-Team Insight Blogs

Third Party Consensus Data is Not Dead But it’s Dwindling, Says Citi’s Booth

Subscribe to our newsletter

The buy side is busy creating its own resources for consensus data and this has meant that third party provision of this data is slowly declining in importance, said Paul Booth, co-head of the global data services team at Citi Investment Research. The decision to source this information directly is being taken by many of the larger firms because they have the scale to make the investment.

There are many issues with third party sources of this data, including time lags, inconsistency and important metrics being overlooked, he told delegates to FIMA 2008. “The problems inherent in third party consensus data also include an inconsistent approach in how the numbers are calculated,” he added. International Financial Reporting Standards (IFRS) are also not helping matters, and often ultimately results in more of a time lag between the reports being produced and vendor updates, as vendors check that the data is correct.

“There is no incentive for the broking community to get involved in making sure third party data sources are correct due to the lack of an ownership concept,” said Booth. The commoditisation of content means that the data is being diluted from these sources, he added.

In order to tackle some of these problems, there needs to be deeper engagement of the broker community with the vendors, he suggested.

“Third party consensus data will not die out but it will become less relevant over time,” Booth concluded.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Drive to Scale AI Makes Trust the Holy Grail of Data Managers: Webinar Preview

The race to implement artificial intelligence at scale within financial institutions’ technology stacks has made it imperative that they ensure their data foundations are solid. Without trusted data, AI is a potential minefield of erroneous outputs, hallucinated responses and inaccurate analyses. This compromises leaders’ ability to make well-informed decisions and poses the risk they’ll make...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...