Data Coverage

AI, Data Coverage, Regulatory Compliance, Technology • February 7, 2022

How Can AI Fill In the Gaps for Full SFDR Compliance?

The European Union’s Sustainable Finance Disclosure Regulation (SFDR) could revolutionize sustainability reporting—and, in turn, rescope the data that companies track to measure their ESG performance. The purpose of SFDR is to improve the transparency of ESG disclosures by financial product and service providers. As not every piece of...

AI, Data Coverage, Regulatory Compliance, Technology • February 3, 2022

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Sustainability performance data are still in their early days. The Corporate Sustainability Reporting Directive (CSRD) will eventually make these data part of companies’ annual reports with third- party auditing. However, CSRD will not be fully implemented until 2025, and in the meantime, limited reliability in reported data is to be ex...

AI, Data Coverage, Regulatory Compliance, Technology • January 25, 2022

Natural Language Processing (NLP) to Improve SFDR Reporting

Most of the solutions available in the market for the analysis of companies’ behavior rely heavily on the manual assessment of news or on sentiment analysis, leading to weaknesses like subjective assessment, volume limitation, and limited ability to interpret metrics. These limitations reduce the capability to provide timely and meaning...

AI, Data Coverage, Regulatory Compliance, Technology • January 8, 2022

How Machine Learning Can Expand Sustainability Data Coverage

Lack of data coverage is a major hurdle that can be overcome through the use of machine learning. Today, 80% of listed companies do not report required sustainability data. That means that, regardless of reliability issues, only 20% of publicly listed companies report comprehensive data on sustainability as a baseline. Many providers may ...

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AI, Data Coverage, Regulatory Compliance, Technology • December 10, 2021

How Data Science Can Enable SFDR Reporting

Enabling SFDR reporting is an essential dimension of bringing societal impact to markets. This paper on SFDR presents three specific use cases that showcase the merits of enabling reporting via data science.

Data Coverage, Technology, UN SDGs • November 20, 2021

Using the UN SDG Framework to Measure Impact

As we outlined in our recent article, Impact Investing: Measuring What Matters, there is no singular universally recognized means of measuring impact. One approach that Clarity AI uses is to understand the impact that a company has on each of the UN Sustainable Development Goals (SDGs). The SDGs are the actionable core of the 2030 [&helli...

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How Can AI Fill In the Gaps for Full SFDR Compliance?

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Natural Language Processing (NLP) to Improve SFDR Reporting

How Machine Learning Can Expand Sustainability Data Coverage

How Data Science Can Enable SFDR Reporting

Using the UN SDG Framework to Measure Impact

Request A Demo

By Solution

By Need

By Use Case

Data Coverage

How Can AI Fill In the Gaps for Full SFDR Compliance?

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Natural Language Processing (NLP) to Improve SFDR Reporting

How Machine Learning Can Expand Sustainability Data Coverage

How Data Science Can Enable SFDR Reporting

Using the UN SDG Framework to Measure Impact

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