¿Qué tan sostenible es tu empresa de 0 a 100?
Averígualo en menos de 2 horas, ¡pruébalo de forma gratuita!
Al ingresar su número de IVA, nos conectamos a bases de datos oficiales e identificamos inmediatamente a la empresa. Después, elaboramos las matrices de cálculo y
el sistema analiza la empresa combinando dinámicamente
Cada vez que se completa un módulo de impacto, el algoritmo genera instantáneamente un
Se enumera el
El informe de cada módulo también incluye
La empresa recibirá
Gracias a
elaborando un mini informe de sostenibilidad (DNF)
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| AAA | 80-100 | Warning: Undefined array key 201 in /var/www/sources/views/web/esg-sme-rating.php on line 384 |
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| AA | 65-79 | ||
| A | 55-64 | Warning: Undefined array key 203 in /var/www/sources/views/web/esg-sme-rating.php on line 394 |
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| BBB | 45-54 | Warning: Undefined array key 205 in /var/www/sources/views/web/esg-sme-rating.php on line 400 |
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| BB | 35-44 | Warning: Undefined array key 207 in /var/www/sources/views/web/esg-sme-rating.php on line 406 |
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| B | 25-34 | Warning: Undefined array key 209 in /var/www/sources/views/web/esg-sme-rating.php on line 412 |
|
| CCC | 15-24 | Warning: Undefined array key 211 in /var/www/sources/views/web/esg-sme-rating.php on line 417 |
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| CC | 6-14 | ||
| C | 0-5 | Warning: Undefined array key 213 in /var/www/sources/views/web/esg-sme-rating.php on line 427 |
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| D | Warning: Undefined array key 217 in /var/www/sources/views/web/esg-sme-rating.php on line 431 |
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| E | 00 | Warning: Undefined array key 216 in /var/www/sources/views/web/esg-sme-rating.php on line 438 |
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Outlook table
| Positive | + | Indicates that the rating could be upgraded in the near to medium term. |
| Stable | Indicates a low likelihood of rating change in the near to medium term. | |
| Negative | - | Indicates that the rating could be downgraded in the near to medium term. |
| Not verified | Indicates that the company has not been evaluated yet. |
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Flexibilidad de suscripción en el primer algoritmo del mundo diseñado para pequeñas y medianas empresas
| Ecomate | Otras soluciones | |
|---|---|---|
| Costo anual | 4 weighted variables | Same for every company |
| Tamaño de la empresa | A la medida de las PYMES | None |
| Norma de referencia | España/ Europa | Genérico/Internacional |
| EU Taxonomy compliant | Sí | No | Warning: Undefined array key 189 in /var/www/sources/views/web/esg-sme-rating.php on line 592 |
Sí | No | Warning: Undefined array key 188 in /var/www/sources/views/web/esg-sme-rating.php on line 597 |
Sí | No |
| Dashboard detail | >200 KPI | <100 KPI |
| Rating ESG | Sí | No |
| Double materiality | Yes | No |
| Informe de mejora en tiempo real | Sí | No |
| Contenido educativo para la PYME | Sí | No |
| Cumplimiento multipla | Sí, con un open-standard | Sí |
| Tecnología | Al, crowd, open-data | Enfoque de consultoría |
| Sistema antifraude | Sí | No |
| API availability | Sí | No |
| Export/resell customers data outside of the EU | No | Yes |
| Rating model | Dynamic | Static |
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In line with our values, we have decided to publish our technical-scientific platform architecture, regarding the rating process.
Experts can contribute to the ongoing and continuous development in order to contribute and improve the current model.
We put transparency first while speaking to our customers.
Our calculation system is based on a dynamic algorithm that provides companies with constantly updated information that refers to developments in scientific research or national and European legislation. In fact, our scientific committee is constantly integrating new regulations, directives, sustainable practices, and more. When new developments are introduced, companies can supplement with new findings and keep their status updated.
Our scoring model and policy allow the technical-scientific panel to fast and continuous improvement, aiming at the highest data refresh rate.
We are disclosing all the conditions and events for which the system prompts an update.
Risk algorithm with multi-level fraud detection system to intercept unusual paths during qualitative and quantitative data input from self-assessment products.
On top of this we cross-check everything with data coming from the government company register and some open-data.
As our database gets filled with users, we'll be combining and adding a machine learning.
Read methodological notes
English and cloud only
¿Cómo funciona la evaluación científica? Descubra el open-standard ESG