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

Bloomberg PolarLake Adds Corporate Actions and Index Data to Data Management Utility

Subscribe to our newsletter

Bloomberg PolarLake has added corporate actions and index data services to its data management utility, which already manages reference, ratings, pricing, position, trade and legal entity data on behalf of both buy-side and sell-side customers.

The corporate actions data service is based on data feeds from the company’s data vendor partners, data sourced from custodians over the Swift network, and Swift messaging based on industry standards ISO 15022 and ISO 20022. The service cleanses corporate actions data and raises alerts in relation to a defined universe of securities of interest. Corporate actions can be linked to other datasets such as securities or entities, and upcoming events can be flagged.

John Randles, CEO at Bloomberg PolarLake, explains: “As we built out the PolarLake data management utility, we wanted to make sure data was of high quality across all datasets. To ensure this, we needed to develop a corporate actions service to keep datasets in sync and create the best data masters.”

The service can be used as a stand alone product or with other PolarLake datasets, and has attracted half a dozen customers since it was introduced late last year.

The company’s index data service was added to the utility early this year and provides a managed service that onboards, formats, maps and scrubs index data from both data vendors and non-public sources. The data can be linked to other datasets such as security master and underlying data, and integrated with consuming applications.

Randles comments: “Index data will be huge this year. We already have significant interest in the index data service and a few clients have signed up.”

Looking at the broader progress of the PolarLake data management utility, Randles says it has a full set of datasets for both the buy-side and sell-side, although more will be added in response to customer requirements. To date, over 30 customers around the world are using the utility and more are expected to join as they move away from deployed software in search of solutions that can simplify and reduce the cost of data management.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best practice approaches to data management for regulatory reporting

Effective regulatory reporting requires firms to manage vast amounts of data across multiple systems, regions, and regulatory jurisdictions. With increasing scrutiny from regulators and the rising complexity of financial instruments, the need for a streamlined and strategic approach to data management has never been greater. Financial institutions must ensure accuracy, consistency, and timeliness in their...

BLOG

S&P Builds Private Markets-Trained AI Document Search Tool for iLevel Platform

S&P Global Market Intelligence has expanded its private markets data and technology platform iLevel with the addition of AI Document Search, a module that is built on large language models (LLMs) trained specifically to aid participants in the fast-growing alternative assets sector. The new tool enables general partners (GPs), who manage funds on behalf of...

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,...