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?
Our Ethos
We are relentless in our approach - we diligently capture comprehensive datasets and go the extra mile for our clients - sourcing data from any reporting framework, sector, and location.
Human Expertise Assisted by AI
Our team possesses expertise in ESG data, excels in handling complex data, and has leveraged cutting-edge technological/AI advancements to strengthen their position.
ESG Data Integration into Investment Workflows
We integrate Net Zero Tracking, Impact Reporting, ESG Performance Benchmarking impacts into investment workflows in a seamless, actionable, and logical manner.
Verifiable and Transparent
Our datasets are fully transparent and can be linked to the underlying primary data sources.
Adaptable
We are flexible and experienced in ESG data, enabling us to facilitate the best outcomes for our clients.
ESG Data Challenges
Lack of completeness.
Limited comparability.
Hard to find and monitor.
Requires time and expertise to interpret.
ESGdatapoint Solution
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.
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