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Eduardo Gómez noted the importance of data in this transition : “ Without data , there is no visibility , and without visibility , it ’ s extremely difficult to make good decisions ( or track the impact of these decisions ). Analytics that leverage various data sources , including primary data about what companies consume , how they act and the impact of said actions , will greatly accelerate and improve decision making around emission reductions .”
But it ’ s not just efficient management . Data – as long as it is accessible and accurate
“ Carbon data can also act as an industry-level catalyst to reduce emissions by benchmarking activities ”
EDUARDO GÓMEZ CO-FOUNDER & CHIEF DESIGN OFFICER , EMITWISE
– can tell companies what their competitors are doing , and , in this age of ESG compliance , that can make a world of difference . A client will indeed gravitate towards a company with a solid record on the environment .
“ Carbon data can also act as an industrylevel catalyst to reduce emissions by benchmarking activities ,” Gómez goes on . “ For example , if you ’ re a large furniture manufacturer , and suddenly you have all this rich data around the emissions of other furniture manufacturers , the reduction initiatives they ’ ve previously carried out , and the impact they ’ ve had , you ’ d be more inclined to do the same .”
AI and accuracy Accuracy in data is , of course , essential . If the information provided to a company is not accurate , how is the company to make the right moves in terms of reducing carbon footprint ? In the quest for accuracy , artificial intelligence tools – machine learning , advanced analytics , integration , open-data standards , blockchains and APIs – are fast becoming essential . Among the benefits in terms of accuracy are better precision surrounding a company ’ s analysis of energy and the identification of inefficiencies . And , most importantly , the more data that
102 February 2023