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

A-Team Insight Blogs

M&G Investments Engages Bloomberg DMS to Acquire, Manage and Distribute Multi-Sourced ESG Data

Subscribe to our newsletter

M&G Investments is working with Bloomberg’s cloud-based Data Management Services (DMS) to host the acquisition and management of ESG data, and enable integration of the data into its investment processes.

Bloomberg DMS will onboard and consolidate M&G Investments’ ESG data providers to its private, cloud-based solution, enabling more control, providing a holistic view of the data, and addressing the challenges of aggregating different sources by applying validations, mapping feeds to a common company hierarchy, producing a consolidated view across providers, and offering transparency around governance and data lineage.

The data management service also enables linkage between ESG and other datasets, including security master, pricing and analytical data, to accommodate varying client needs and present a full view of the data universe. Clients can choose SFTP or API delivery channels, and datasets will be available to downstream systems to ensure a continuously updated and unified view of ESG across the firm.

“Adopting an ESG lens in investment has evolved from a trend to a necessity. One of the largest challenges for us has been managing and processing an influx of ESG vendor data that has little standardisation or transparency,” says Julian Dorado, director of the investor data platform at M&G Investments. “Bloomberg DMS has solved this for us, providing the necessary integration, transparency and efficiency required to make critical ESG investment decisions.”

Keith Bunnell, global head of Bloomberg DMS, adds: “By using the strength and adaptability of the DMS solution, M&G Investments will be able to streamline the acquisition, management and distribution of data from multiple sources.”

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

The ‘More Data Is Better’ Myth

By Edgar Randall, Head of Europe, Dun & Bradstreet. For years, business leaders have been told that data is their greatest asset. Collect more of it, connect more sources, and better decisions will follow. However, as organisations accelerate their investment in AI, analytics and digital transformation, this long-held assumption is starting to be challenged. The...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...