Explore how data analytics might help us to detect and forestall greenwashing to advertise real sustainability

Greenwashing is the practice of constructing misleading claims in regards to the environmental advantages of a product or a service to speak a false image of sustainability.

This act of embellishment or hiding falsehood has turn out to be a standard challenge as corporations seek the eye of environmentally conscious consumers.

In this text, we’ll delve into the world of greenwashing to elucidate its manifestations and find out how to use data analytics to detect and forestall these unethical practices.

Summary
I. Understanding Greenwashing
1. What's Greenwashing?
2. Examples of Greenwashing
3. Greenwashing x Data Analytics
II. Data Analytics for Greenwashing Detection
1. The difficult task of detection
2. Natural Language Processing (NLP)
3. Change Point Evaluation
4. Regression Evaluation
5. Network Evaluation
III. Conclusion

I discovered Greenwashing once I conducted my first supply chain sustainability project.

As a Supply Chain Solution Manager, my task was to estimate the environmental footprint of the manufacturing and logistics operations of our customers.

And it was surprising to see the claims of a few of their competitors considering that they were producing and selling similar products.

How can an organization selling disposable plastic products can claim to be carbon neutral?

The target of this text is to indicate you ways analytics tools can allow you to to detect this type of false claims.

1. What’s Greenwashing?

Greenwashing is a portmanteau word of ‘green’ and ‘whitewashing’.

This dishonest practice is utilized by organizations to create a misunderstanding of environmental…