ESG Data Guide 2024

SG Analytics Pvt. Ltd - IDEAT

Data category

  • Environmental data
  • Governance data
  • Indices/Exchange data
  • Rankings
  • Ratings
  • Research data
  • Social data

The data offers solutions for:

  • Environmental impact analysis and insight
  • Investment decisions and portfolio insight
  • Nature-based information
  • Nature-based information: Biodiversity
  • Nature-based information: Land use
  • Nature-based information: Oceans
  • Nature-based information: Water
  • Reporting: CSRD
  • Reporting: Impact
  • Reporting: Other Regulations
  • Reporting: SFDR
  • Reporting: TCFD
  • Reporting: TNFD
  • Reporting: UN SDGs

Who are the data users?

  • Corporates
  • Financial institutions
  • Government
  • Investors
  • Trustees

Brief description of the data offering

This is an intelligent data extraction and tagging (IDEAT) tool for the ESG domain. It extracts environmental, social, and governance (ESG) data from corporate reports such as ESG reports, sustainability reports, CSRs, annual reports, etc. There are thousands of documents available with research organisations having ESG data. These documents are unstructured and extracting ESG KPI values manually is a time-consuming and error-prone process. Using this product, ESG data research organisations can extract data more efficiently and with minimal effort.

Where and how do you source your data?

We aggregate ESG data from a diverse range of publicly available sources, including annual reports, sustainability reports, integrated reports, TCFD reports, CDP reports, codes of business conduct and ethics, sustainability/ESG policies, press releases, newsletters, corporate website filings, exchanges, and other relevant documents. To streamline our research and ensure accurate ESG assessments, we have developed proprietary AI-powered solutions. These solutions include the Publication Monitoring Tool (PMT), Intelligent Data Extraction and Tagging Tool (IDEAT), and the News/Controversies Aggregator Tool. By utilising machine learning (ML) and natural language processing (NLP), these tools optimise our capacity to monitor wide range of sources, while making the research process efficient to provide precise and comprehensive ESG insights, enabling quicker delivery to our clients.

What is the cost for your data offering?

Our approach to costing is specifically designed to accommodate the unique needs of each organisation, acknowledging the significant variations in scope. We conduct a thorough evaluation of requirements, objectives, risks, and complexity involved in the project. This enables us to provide a customised costing structure that aligns with the client's expectations and budgetary considerations. Factors considered include company coverage, news data labelling, delivery formats (such as product UI, APIs, webhooks), and any additional specialised services or support required. Through this meticulous evaluation, we offer a cost structure that is both realistic and transparent, instilling confidence in our ability to deliver value while staying within the client's financial parameters. Our aim is to provide cost-effective and accurate news insights for ESG projects.