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: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

CDOs Play Increasingly Vital Role in Driving and Safeguarding AI Transformation: DMS NYC Preview

Modern chief data officers (CDOs) – and, more recently, chief data and analytics officers (CDAOs) – have an unenviable task. They are the gatekeepers of their organisation’s chief asset; its digital information. In the age of artificial intelligence, the importance of their role has been elevated and made more complex as the risks posed by...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

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...