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

A-Team Insight Blogs

Alveo Extends ESG Data Management Capability

Subscribe to our newsletter

Alveo (formerly Asset Control) has expanded its ESG data management capability by extending its standard industry data model and user interface to help clients understand ESG data quality, data lineage and divergence between third-party ratings.

Driven by regulations such as the EU’s Sustainable Finance Disclosure Regulation (SFDR), the Alveo data model now incorporates the data fields required to address the SFDR’s Principal Adverse Impact (PAI) sustainability indicators applicable to investments in investee companies, sovereigns and supranationals, and real estate assets. Business rules support completion of missing data points based on peer group analysis, converting reporting bases and units of measurement, and proxying information based on historical records.

“ESG is the biggest data management requirement to hit the buy-side for some time,” says Mark Hepsworth, CEO at Alveo. “We see clients requiring access to multiple ESG data sources and increasing volumes of data. At the same time, clients want to manipulate this data and make their own decisions about it and how they present it to their clients.”

To meet the need for multiple data sources, Alveo has also extended its standard library of off-the-shelf connectors with financial data feeds. The company’s Ops360 user experience includes dashboards showing the sourcing, processing and completion status of data requirements, as well as insight into data quality metrics and complete lineage to show the provenance of reported data fields. Clients can also use Alveo to integrate multiple sources of ESG data and derive analytics, for example showing the divergence between third-party ratings or the creation of clients’ proprietary ratings.

“Alveo’s multisource approach to data management is well suited to address ESG data management requirements,” says Neil Sandle, head of product management at the company. “With wide dispersion in third-party ESG ratings and the need for granular reporting against the SFDR’s PAIs, firms need to combine different sources with their expertise. ESG data is essentially reference data that we have been helping clients manage for many years.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks

Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...