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

Exchange Data International Releases Readable Corporate Action Notices

Subscribe to our newsletter

Exchange Data International (EDI) has released Readable Corporate Action Notices (RCAN), a solution designed to enable personnel in front- and middle-office buy-side firms to read corporate action notices in the same way as they read news. RCAN is based on machine learning and was developed by EDI. It covers 45 corporate events, including dividends, mergers and acquisitions, new listings (IPOs), and stock splits, and also aggregates corporate actions from over 150 exchanges globally.

Noting that before RCAN, corporate actions data was confined to machine-readable feeds that were largely unintelligible for anyone without a degree in computer science, EDI says translating the data into a story-like, readable structure is a step in the evolution towards intelligent data management across buy-side firms, and also allows better communication across teams.

Jonathan Bloch, founder and CEO of EDI, says: “We are committed to continuous innovation, and this year we are offering the most comprehensive update to our Worldwide Corporate Actions Service since its launch in 2002. Corporate actions provide critical information to the financial sector, without which it cannot function in a timely manner. If businesses cannot access up-to-date information quickly, important events will be missed, and potential profits will be lost.”

The benefits of RCAN cited by EDI include:

  • Intraday notices provided at four set times throughout the day, the same frequency as the corporate actions data feeds. This gives buy-side firms all the information necessary to make informed market decisions in one simple, readable format.
  • Front- and middle-office workers can remain informed of data values, making operations more efficient and decreasing the chance of corporate actions going unnoticed.
  • Amalgamation of disparate data sections into one comprehensive document, eliminating the need for data aggregation within a client-side database.

Inclusion of relevant information from internal and external sources, including added data values, deletions, change management features, links to related notices, and reference and events data.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Mastering Data Lineage for Risk, Compliance, and AI Governance

Financial institutions are under increasing pressure to ensure data transparency, regulatory compliance, and AI governance. Yet many struggle with fragmented data landscapes, poor lineage tracking and compliance gaps. This webinar will explore how enterprise-grade data lineage can help capital markets participants ensure regulatory compliance with obligations such as BCBS 239, CCAR, IFRS 9, SEC requirements...

BLOG

Meta Integration Drives Lineage Technology Directly to Clients

Meta Integration founder and chief executive Christian Bremeau loves cars. He speaks animatedly about motor racing, is a fan of the UK TV driving show Top Gear and admires its controversial former presenter Jeremy Clarkson. His fascination with the motor car also extends to his portrayal of Meta Integration’s newest product, MetaKarta, a metadata management...

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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...