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

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: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

ESMA’s “Data Day” and Regulatory Digitalisation

When ESMA convened its first ‘Data Day’ on 2 December 2025, the agenda title – “Burden reduction in the digitalisation era” – captured a shift that has been building across Europe’s regulatory landscape for several years. While markets been advancing shared data models and machine-executable reporting logic through initiatives such as the Common Domain Model...

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,...