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 & 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 Solutions' 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
The process of conducting ESG analytics assessments encompasses multiple steps. Initially, companies collect pertinent data from both internal sources and external databases. This data is subsequently structured and examined utilizing quantitative and qualitative approaches. The ESG assessment entails evaluating environmental aspects (e.g., carbon emissions or water usage), social elements (e.g., labor practices or community impact), and governance aspects (e.g., board composition or executive compensation). Organizations can take up a discovery session to analyze outcomes to identify strengths, weaknesses, and opportunities for enhancing ESG performance.
ESG analytics scrutinizes an extensive range of environmental, social, and governance data. This data encompasses different facets of an organization's practices, operations, and influence on society and the environment. The data examined may involve sustainability reports, stakeholder surveys, industry benchmarks, financial reports, regulatory filings, and third-party ratings. By leveraging the power of ESG data analytics, companies can track-down risks, unveil avenues for improvement, and make well-informed choices that goes with their sustainability initiatives.
ESG analytics is crucial in empowering organizations to align with sustainable development goals (SDGs) principles. By examining their ESG performance and identifying areas where enhancement can be done, these analytics offers valuable opportunities and insights for positive contributions to ESG sustainability. Through a detailed evaluation of social practices, environmental impacts, and governance structures, distinct actions that resonate with SDGs can be highlighted. With ESG analytics, organizations can effectively set targets, measure their progress, and transparently interface their commitment to ESG sustainability to stakeholders.
ESG analytics plays a significant role in creating long-term value for enterprises. It assists in identifying ESG-related opportunities and risks that can impact financial performance, allowing organizations to address these risks and capitalize on opportunities for sustainable development. The benefits of ESG for companies also includes - the increasing demand for responsible investments, attracting socially responsive investors and obtaining access to capital markets.
