About a-team Marketing Services
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

Upcoming Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined...

BLOG

Modernising Legacy Systems Amid Ageing Infrastructure and Skills Shortages

By Wayne Kiphart, CEO CloudFirst Global. The lack of IT skills globally is widely acknowledged but the problem is particularly concerning when it comes to older systems. As the experts who built these vital platforms retire, younger generations have not been trained in the skills to maintain the infrastructure nor, sadly, have they learnt their...

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

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...