Alternative ESG Scoring

Combination and analysis by AI of traditional data and Alternative Data to improve the reliability of business risk estimation models.

Dedicated to: ESG/CSR/SRI

ESG Score approach

ESG Score approach

With our proprietary methodology we have developed an innovative companies score based on a heterogeneous set of data coming from both traditional internal and alternative external sources.

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Data souces

Internal data.

Corporate self-disclosed information.

  • Corporate Websites (e.g. presence of dedicated CSR page or relevant ESG subjects)
  • Corporate Balance Sheets
  • Sustainability/CSR Annual Reports
  • Certifications (e.g. BS OHSAS 18001, SA8000, ISO26000, ISO 14967)
  • Social Media (corporate social media accounts)
External data.

Alternative independent information.

  • NGOs (e.g. news from Amnesty International, Greenpeace, HRW etc.)
  • News, blogs, forums (e.g. news from main news media, vertical news providers, social media etc.)
  • Business review websites (e.g. employees’ reviews, customers’ reviews etc.)

In the definition and calculation of our ESG Score, we adopt a structured approach regarding the weights assignments for the different data sources and the treatment of missing data following guidelines developed by our ESG Specialists.

Weights for different data sources: all indicators are weighted based on the reliability of the data source on which they are based and their relative impact. Internal data are voluntarily disclosed by the company, thus the weights depend on the possible influence by the company (e.g. financial statement data are less biased by the company’s will than mission/value statements).  On the other hand, external data weights rely on the prominence of the specific data source.

How to treat the lack of data: the partial or full absence of internal data implies a clear  lack of consideration for the ESG theme and therefore has a negative impact on the FinScience ESG Score. On the other hand, the lack of external data for a company may depend on a multitude of exogenous factors. As such, the lack of external data is in general not considered a penalizing factor in the Finscience ESG Score.

Data souces

ESG Scoring

FinScience Alternative ESG Scoring is obtained by averaging the internal and external score for each category and penalizing companies with a strong difference between external and internal scores. Indeed, any form of chasm between the internal and external score might indicate a lack of communication on ESG positioning of the company or a bad external perception on sustainability matters (or both). The final ESG score is provided only for those companies having both internal and external data available.

FinScience ESG Industry Score: the FinScience ESG Score calculated for each company is finally compared – and this applies also to all meta-scores – against the FinScience ESG Industry Score, providing the industry performance in sustainability matters.

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Beyond the score: Reputation.

News: FinScience collects relevant ESG news that have been published or shared on social media in the last 6 months.

Sentiment: FinScience performs sentiment analysis on news mentioning the company to represent the degree of digital favour.

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Beyond the score: Employees rating.

FinScience collects the companies’ employees opinion, retrieving them from business review websites. Data are aggregated in 4 main categories:
Management evaluation, Company culture, Work satisfaction, Diversity management.

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The added-value of Alternative Data

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