Explore how data analytics may help us to detect and stop greenwashing to advertise real sustainability

Greenwashing is the practice of creating misleading claims concerning the environmental advantages of a product or a service to speak a false image of sustainability.

This act of embellishment or hiding falsehood has grow to be a typical challenge as firms seek the eye of environmentally conscious consumers.

In this text, we are going to delve into the world of greenwashing to elucidate its manifestations and the right way to use data analytics to detect and stop 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 after 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 point out you ways analytics tools can enable you to to detect this sort 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…