DATA ANALYTICS SOLUTIONS AGAINST GREENWASHING
The first step of the fight against Greenwashing consists in identify the potential gains of the fraudsters to understand their motivations.
There are 2 types of potential gains :
- Improve the value of its organisation by creating fake value based on sustainability
- Protect the value of its organisation by not losing value by concealing incidents or weaknesses
In these 2 cases, Data Analytics can be useful to identify the fraud schemes with specific models exploiting different sources of data and the Condor Strike Methodology.
Greenwashing does not consist only in carbon emissions or waste monitoring and it can affect more subtle domains such as social or governance. The Condor Strike Methodology can help you work in any circumstances and manage these differences.
Let’s get in touch to find out how you can use data in your audits, your due diligence or your fraud cases.
.
Lying about your level of sustainability consists in the first place in disclosing false information as part of CSRD or under other or no regulation, especially on the achievements or the evolutions of your KPIs based on false data or amended computations.
Data Analytics tools can enable you to redo the computations or to analyse them to assess the consistency and the accuracy of the used data.
Numerical data (especially structured) are not the only ones that could be used, unstructured data such as text or emails could also be useful to check the truth about the positive disclosures.
The other Fraud scheme we can review to fight against greenwashing is the search of incidents and weaknesses that could have been concealed by the organisation.
With a consistent use of sources of structured and unstructured data and the Condor Strike Methodology, it is possible de identify these incidents that organisations may have tried to conceal or minimised.
There is always a way to identify clues by analysing financial, operational but also communication, especially concept analysis such as “the sentiment analysis”. There are many other concepts to use.
