Calcule o risco ESG à velocidade da luz inserindo apenas o NIF de uma empresa. Graças à elaboração combinada das nossas bases de dados com as estatísticas provenientes das bases de dados Europeias oficiais, o algoritmo fornece indicadores de risco úteis para a análise em massa dos seus parceiros.
Crie a sua política de portefólio agora.
Introduza apenas o número de NIF e a nossa IA encarregar-se-á do resto
Do not underestimate the importance of knowing the ESG performance of the companies you do business with.
L'output include sia valutazioni in merito al cluster relativo all'impresa (settore, territorio, fatturato e dipendenti) sia indicazioni specifiche relative all'impresa in oggetto.
The algorithm is adjusting the data quality dynamically: whenever the proxy data is not available for the highest level of detail, it automatically scales to the upper segment of data, providing the end user with a result.
Extreme level of detail with more than 80 KPIs divided into the 3 impact categories E, S and G accompanied by quality ranking for each indicator and related information and regulatory detail.
Designed exclusively for the European context, the scoring model is calibrated for alignment with current regulations and the EU goals of the 2030-2050 Agenda.
It already includes the dataset with the 9 KPIs for physical risks and transition risks, ready for various applications in sustainable finance.
Obtainable via API to satisfy any request for outward integration.
Algoritmo di data quality...
Vendita di data-packs
Processi batch...
Per ogni area di impatto (e, s, o g) saranno presenti numerosi indicatori.
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This table indicates the data reliability and quality index score according to the type of source measured across different sub-indexes.
This product is sold by volume to meet massive analytics use casesPricing
| Risk score scale | Upwards limit | Downwards limit |
|---|---|---|
| VERY LOW | 0 | 16 |
| LOW | 17 | 32 |
| MEDIUM/LOW | 33 | 49 |
| MEDIUM | 50 | 65 |
| MEDIUM/HIGH | 66 | 83 |
| HIGH | 84 | 94 |
| VERY HIGH | 95 | 100 |
| Product features | |
|---|---|
| Technology | AI |
| API | Yes |
| Potential coverage | EU27 (18m companies) |
| Actual coverage | Italy (2m companies) |
| Materiality KPIs | 50 |
| Coefficient model | Dynamically adjusted |
| EU NACE detail | 4 digits level |
| EU Class detail | 6 levels (S-M-S-M-C-G) |
| EU Territory detail | 4 levels (to municipality) |
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The risk score is always related to the company's reference cluster: the intersection between the industry code (NACE code), the number of employees, annual revenues and the territory. This is also why as a starting point we are asking for a unique identification number (VAT) where the input information is verified and certified so we can be sure that we have correctly identified the company's cluster and benchmark.
With transparency and constant updating, we publish the methodological notes for the benefit of all stakeholders.
Unsolicited ESG Risk Score - Methodology
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