How Advanced Technology Can Increase Data Reliability
There are somewhere between 40-45,000 publicly listed companies in the world, according to the World Bank, and their direct emissions (Scope 1) account for between 20- 25% of the world’s GHG emissions.
Only about 17% of those publicly listed companies report their direct emissions – thatʼs only 6,500 companies worldwide. So, yes we have a problem with reporting. As it turns out though, the problem isnʼt quite as big as you might think, because those 6,500 companies that do report emissions emit about 74% of the Scope 1 emissions of the full universe of public companies. So while we donʼt have all the data weʼd like to, the good news is that we have a good chunk of the data that matters in this case.
But, what about the reliability of that data?
Clarity AI sought to understand the impact of data reliability and highlight how important your choice of provider can be on the output of your analysis, and in turn your sustainability related investment decisions.
Download the whitepaper to:
- Explore the current analysis of data provider consistency and reliability
- Examine the three most common mistakes that data providers make and examples to highlight how significant these mistakes can be
- Understand how the Clarity AI reliability model leverages technology to increase reliability and thereby increasing the investor confidence