This study finds a strong negative correlation between analytics use and carbon emissions, indicating its potential to enhance sustainability efforts.
Cutting carbon emissions is one of the most important steps in fighting climate change, and the United Statesbeing one of the largest pollutershas a big responsibility. This study looks at how business and data analytics can help reduce carbon emissions. Analytics tools allow companies and governments to track energy use in real-time, predict future trends, and run operations more efficiently. We used data from 2022 to 2024, including carbon emissions levels, how much analytics was being used in energy systems, and how many smart buildings were in use. Our analysis shows a strong negative link (r = -0.96, p < 0.01) between the use of analytics and the amount of carbon emissions. This means that as more organizations used analytics, carbon emissions went down. These results show that using data and technology can make a real difference in protecting the environment. It also highlights the importance of including analytics in climate policies and sustainability planning (U.S. EPA, 2024; DOE, 2023).
No takes yet. Share an insight, caveat, or question.
Muleka Christelle Masudi (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: