As the world becomes increasingly data-driven, businesses are looking for new ways to gain insights and stay ahead of the competition. Alternative data, which refers to non-traditional data sources such as social media, satellite imagery, and credit card transactions, can provide valuable insights that are not available through traditional data sources. However, analysing alternative data can be challenging because it often lacks the structure and standardisation of traditional data sources. In this blog post, we will discuss five criteria typically used to analyse alternative data for scarcity, granularity, history, structure, and coverage.

In today's world, Environmental, Social, and Governance (ESG) factors are becoming increasingly important for investors to consider when making investment decisions. As a result, ESG databases have emerged to provide investors with data on the ESG performance of companies. In this blog post, we will provide an overview of some of the ESG databases that exist today.

The ESG Pulse is a powerful tool that ESG Analytics has developed to assess ESG risk in companies. It is our flagship measure and is considered to be one of the most comprehensive and reliable ways to evaluate a company's ESG performance.

Creating ESG scores for private companies has been a challenge as they do not disclose as much information as public companies. To overcome this challenge, ESG Analytics has developed a unique approach that uses its AI engine, natural language processing (NLP), and external data sources to create ESG scores for private companies