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

Webinar Preview: Getting ESG Data Right to Fully Leverage Power of Analytics

Subscribe to our newsletter

The growing body of ESG data is posing a few challenges to financial institutions as they try to make sense of the tsunami of sustainability information entering their systems.

Data managers are turning to sophisticated analytical tools including artificial intelligence (AI) to help them clean, digest and utilise the data. How they do that and what technology they deploy to achieve it, however, is a matter of intense debate with board rooms.

A-Team Group’s ESG Insight has put together a panel of speakers from the data-provision and data-consumer sides of the debate to look over how companies are dealing with this fast-moving aspect of ESG. Among the topics they will discuss at the September 29 event are: best practices on capturing and containing relevant data sets; how to ensure data quality; how to master, integrate and track ESG data; and, what technologies, tools and services would be most useful in achieving the best outcome.

“Analytics is used in the entire data flow because there’s a vast amount of data out there,” says Boyke Baboelal, strategic solutions director Americas for Alveo. “What I see now is that a lot of focus is on getting the data but it’s not the entire process that is being discussed.”

Seizing Opportunities

One of the key drivers behind the development of ESG data analytics has been AI, which is helping in the ingestion, mastering and utilisation of ESG information. It’s also being deployed to standardise and clean unstructured data, such as that scraped from PDF documents, websites and social media.

Baboelal said that while many companies had eagerly seized on AI, may were not using it to the technology’s full advantage.

It is important for any company using ESG data to plan how they would apply analytics. Too many, he said, were focusing their attention on obtaining data. They ought to spend more energy on establishing a goal for their analytics ambitions and draw up a strategy to achieve that.

The growth of the ESG data market was highlighted earlier this year in a report by management consultant Opimas, which estimated data providers would reap US$1.3 billion, up from $1bn last year. About three-quarters of that would be accounted for by data analytics, the report added.

Getting it Right

Getting ESG data right is critical to financial institutions’ operations. Without the right data – or the correctly processed data – companies would struggle to find value from the information for which they are paying huge fees.

One of the most important tasks in achieving that is to shape ESG data in a way that enables its easy integration with other forms of information, including time-series price data, enterprise data and other financial data, Baboelal said.

“If it’s done well – that linking of information with reference data, time series data and so on – and when it’s integrated with all its aggregates as well, you will have one single view of an entity with all its securities and so on,” he said. “That will make it easy to apply the big queries and do all kinds of analytics.”

Joining Baboelal on the webinar, which is entitled “Approaches to ESG data for analytics”, will be Roshini Johri, head of ESG analytics at HSBC and Nirav Shah, head of ESG analytics at M&G.

Subscribe to our newsletter

Related content


Upcoming Webinar: Approaches to ESG data for analytics

Date: 29 September 2022 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Volumes of ESG data are huge and continue to grow, questioning how financial institutions with a focus on ESG investing can continuously capture and contain required data sets, master and integrate the data, and ensure data quality for meaningful...


Bloomberg Wins A-Team Group Award for Most Innovative ESG Data Solution

Bloomberg has won the award for Most Innovative ESG Data Solution in A-Team Group’s Innovation Awards 2022. The awards celebrate innovative projects and teams across vendor and practitioner communities that make use of new and emerging technologies to deliver high-value solutions for financial institutions in capital markets. Bloomberg’s ESG data solution was selected as a...


Data Management Summit London

Now in its 13th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore the evolution of data strategy and how to leverage data to drive compliance and business insight.


ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...