
ESG Analytics Services
Make informed, data-driven decisions for a sustainable future. Drive real change with our esg analytics
The environmental dimension centers around a company's environmental impact and management practices. It encompasses areas such as carbon emissions, renewable energy usage, waste management, plastic reduction efforts, and more.
The social aspect of ESG pertains to the relationship between a company and its stakeholders, including employees, supply chain partners, and the communities in which the company operates.
Governance encompasses the establishment of accurate and transparent accounting methods, the pursuit of diversity and integrity in leadership selection, and accountability to shareholders.
Genz and 87% Consumers are looking to invest in companies that establish a robust ESG strategy
Respondents claim that they're using data & insights to track performance against their sustainability goals
Organizations are utilizing data and insights to report on emissions
Climate change is causing a surge in extreme weather events such as hurricanes, floods, and heat waves. The growing recognition of Environmental, Social, and Governance (ESG) factors has made them an urgent priority rather than just a passing interest.
Polestar Analytics' ESG analytics practice empowers businesses to proactively monitor their ESG scorecards, discover potential impact opportunities, and receive strategic recommendations for driving optimal business value and advancing sustainability goals for the future.
Develop a comprehensive ESG strategy and implementation roadmap that aligns with your business objectives and incorporates measurable goals. Ensure seamless integration with other disclosures.
Evaluate the ESG performance of suppliers and other partners in the value chain, identifying areas for enhancing sustainability and social responsibility throughout the supply chain.
Assess your current practices and disclosures against preferred ESG standards and frameworks of your investors. Gain insights on how you compare to industry peers.
Identify key stakeholders and create customized engagement strategies to cultivate trust and foster collaboration on ESG issues.
Adopting an industry-specific approach is crucial. Enterprises must establish sustainability goals that are tailored to their business and industry, maximizing the potential for impactful outcomes.
Leveraging advanced technologies such as AI and ML, enterprises can utilize data modeling and forecasting techniques to assess the relationship between their operations and sustainability objectives such as reducing energy consumption.
Human expertise remains indispensable, augmented intelligence plays a vital role by automating data processing tasks and unveiling valuable insights. This collaboration empowers teams to make well-informed, data-driven decisions.
With a focus on sustainable business practices and automation, we helped a building materials manufacturer reduce Scope 3 emissions.
View Case studyOn-demand KPIs
Emission reduction
Data consolidation complexities