Net Zero Tracking, Impact Reporting, ESG Performance Benchmarking
Comprehensive ESG Datasets to meet the needs of Financial Institutions, Corporates, and Investors. We help our clients to integrate problematic yet essential datasets into their investment processes.
Data Made Simple
Net Zero Tracking
Net Zero & Climate Target commitments are tracked. We provide underlying data, insights and analysis on company commitments and track their journey to Net Zero/Carbon Reduction.
GSSS Bond & Loan Impact Reporting
Comprehensive data and analytics that support the assessment of the impacts of projects financed by Green, Social, Sustainability & Sustainability-Linked Bonds and Loans.
ESG Performance Benchmarking
Benchmarking that enables the effective assessment of risks and opportunities of a given company, and delivers a realistic comparison on a topic-by-topic basis compared with others in the same peer group.
What makes us different?
ESG Data Integration into Investment Workflows
Integrating Net Zero Tracking, Impact Reporting, ESG Performance Benchmarking impacts into investment workflows in a seamless, actionable, useful, and logical way.
We are relentless in our approach to capturing comprehensive datasets, regardless of the data source, location or sector.
Verifiable and Transparent
Our datasets are fully transparent and can be linked to the underlying primary data sources.
We flexible and experienced in ESG data, enabling us to facilitate the best outcomes for our clients.
Human Expertise Assisted by AI
Our teams are supported by in-house, AI solutions, relevant to the ESG datasets and Use Cases in question.
ESG Data Challenges
Lack of completeness.
Hard to find and monitor.
Requires time and expertise to interpret.
Comparable and Actionable – we provide consistency and order from unstructured datasets to ensure they are comparable and insightful.
Quality and Transparency – ESGdatapoint’s data sources can be verified back to underlying public disclosures and sources for enhanced transparency.
Timely – our processes ensure that we deliver the most up-to-date datasets.
Units are standardised/normalised for the improved comparability across all our datasets.