Data, Risk, & Sustainability

Measuring what matters

Promoting responsible business conduct through environmental, social and governance (ESG) research, insights and analytics.


Sustainability-related risks beyond financial impacts.

Due diligence

Corporate sustainability due diligence and impacts assessment.


Disclosure-ready analytics aligned to reporting frameworks and standards.


A systematic method to identify the most pressing sustainability issues.


Regulatory compliance and management systems.

Risk & sustainability

While business attention on sustainability issues is not new, there has been an explosion of interest since the late 1990s and early 2000s, as a consequence of pressures from social movements, corporate scandals and a growing awareness regarding environmental degradation and climate change.

The sustainability agenda has evolved  towards the operationalisation of environmental, social, and governance (ESG) risks and impacts.  ESG is the way business and organisations in general can measure their sustainability performance and publicly disclose it.

Due diligence

Due diligence is a way for companies to proactively manage potential and actual adverse social and environmental impacts in their sphere of influence.

The starting point is to recognise the risks. So, it follows a similar methodology to a typical risk assessment process. The main difference is that this is an environmental and/or people centred. We want to know what risks organisations pose to the environment and to human rights. Then, and only then, we can identify consequences to organisations.

Data science & analytics 

Instead of finding a purpose for data, find data for a purpose

Making informed decisions require good quality data and analytics. But most importantly, it requires that we have a question. We then find the data to answer that question and inform our decisions. 

We are moving towards a world where large datasets and advanced data science methods such as machine learning (ML) are more accessible to everyone.

So, if you have a question, the challenge is to find the data that can help you answering it. 

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