Find Attribute
Attribute: "Evaluate whether the following text provides sufficient evidence that the company has a formal policy, strategy, plan, or management system for biodiversity or nature. Only consider it sufficient if there is a published policy document covering biodiversity (including as part of a broader environmental policy), or an explicit statement that the company has a biodiversity policy. Text describing activities, audits, general improvements, community engagement, or risk evaluation alone is not sufficient, even if it mentions biodiversity. Text referring only to legal compliance, “not relevant” assessments, or absence of biodiversity-sensitive impacts is not sufficient."
Introduction:

All Street Sevva provides suite of ESG focused AI Metrics in both a user interface and by API. This allows Financial, ESG and Risk Analysts to get answers to their questions about a company, fund, sector or even competitors.

What is a Data Metric?

A data metric (also sometimes called data point, attribute, field or variable) are information about entities that is available in both ESG Metrics User interface and in the Sevva ESG Metrics API.

Metric card:
Metric name:"Evaluate whether the following text provides sufficient evidence that the company has a formal policy, strategy, plan, or management system for biodiversity or nature. Only consider it sufficient if there is a published policy document covering biodiversity (including as part of a broader environmental policy), or an explicit statement that the company has a biodiversity policy. Text describing activities, audits, general improvements, community engagement, or risk evaluation alone is not sufficient, even if it mentions biodiversity. Text referring only to legal compliance, “not relevant” assessments, or absence of biodiversity-sensitive impacts is not sufficient."
Metric key:filings-nature-policy-biodiversity
Type:Questions & Answers
Type description:AI Question & Answer Metrics use public disclosures to give a boolean (1/0 or yes/no) answer to the question.
Type update frequency:AI Question & Answer Metrics are updated as new filings are disclosed. The lag varies by company, but is typically between 1 day and 1 month.
Type accuracy:AI Questions are trained to be over 90% accurate. We're constantly improving and refining our data to make it even better.
Type coverage:70,000 companies
Type history:3 years of history
Example values:

Trial UI options: You can access this metric for free by signing in Sevva Platform
Trial API options: You can access this metric for free with the Sevva API

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