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

It All Comes Out in the Wash: Why Clean ESG Data is Key

Subscribe to our newsletter

By Kifaya Belkaaloul, Head of Regulatory, NeoXam.

As ESG investing becomes a vital offering for financial institutions, there has been a marked rise in marketing efforts of these capabilities and subsequently an increase in accusations of greenwashing. Current allegations against DWS, Deutsche Bank’s funds arm, are gaining a head of steam, demonstrated by the resignation of its CEO hours after its own offices, along with those of its majority owner, Deutsche Bank, were raided by police investigating the case. What we are learning as the space develops is that ESG data is vitally important to not only effectively progress, but also to ensure that you don’t stray into the territory of overclaiming or mislabeling.

While investors withdrew £1.53 billion from equity funds in March this year amid heavy market turbulence, caused mainly by Russia’s invasion of Ukraine, ESG funds remained in favour among investors – with inflows climbing to £136 million. Undoubtedly, it is a space with huge growth potential that continues to accelerate.

As the desire to allocate funds towards ESG investments rises, the information that underpins ESG scores is being increasingly demanded by investors. However, it isn’t just for funds labelled as ‘ESG’ that investors want to know this kind of information, it is for all funds and assets in the same way that they demand information on financial performance.

The fact is, ESG scoring is now seen as a fundamentally important information category, which can also be relevant to the broader mission statements of both asset managers and their clients. All asset managers now have to be able to show accurate ESG scores, and service providers need to be able to help asset managers/clients legitimise the actual scoring.

When it comes to avoiding greenwashing, firms need to be able to present a full picture of their holdings to both investor and regulatory bodies. It is certainly possible that a lack of insight into the quality of the data underpinning the supposed ESG credentials of assets could, in many cases, be the reason for unwitting greenwashing, rather than it stemming from a deliberate attempt to try to mislead investors.

The average country garden is a mix of weeds and flowers, but without digging a little deeper, the weeds can often go unnoticed. It is the same when it comes to ESG analysis – it is a vastly complex area and without a rigorous and microscopic view of the data that sits beneath, it is impossible to paint a complete picture.

Part of the problem is that the major data providers all have different methodologies when establishing their own ESG ratings – this differs from the more developed credit ratings space, where a few large providers have a broadly harmonised view of how to measure credit ratings. In addition to this, regulation governing ESG investing is woefully underdeveloped relative to other areas of investing, especially in regions outside Europe.

Therefore, the onus is on financial institutions to take control of the evaluations process. This way, if or when the regulators do come knocking, their requirements can be met by demonstrating a data-driven understanding of the credentials behind ESG claims – but only if the data management systems being utilised are up to scratch.

Ultimately, firms have to be able to harness the data that underpins these ESG scores, and present it in a simple, clear way to investors and regulators alike. That will ensure consistency, as well as enabling the confirmation of data quality. Firms have to empower ESG specialists, investment teams, and reporting teams with real, quality, and transparent data around all three elements of ESG to analyse investments. Without shining a light on the data that sits behind the statements, we are simply walking in the dark when it comes to ESG.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

AI Governance Frameworks Are Emerging as Applications Abound: Webinar Review

Capital markets leaders are in the early stages of implementing comprehensive artificial intelligence governance frameworks as they begin to realise the challenges as well as the opportunities offered by the technology. As the adoption of AI accelerates it’s becoming apparent that it needs its own set of rules on how it can be effectively and...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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,...