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

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

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

Tackling the Data Management Challenges of FATCA

As the July 1, 2014 deadline for compliance with the Foreign Account Tax Compliance Act – or FATCA – approaches, financial institutions around the world are working to ensure their data management and operational systems will meet the requirements of the US legislation. This report discusses the requirements of FATCA and how the legislation is...