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

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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...