
Advanced ESG Analytics
Simplify ESG reporting. Turn sustainability into a competitive advantage.
ESG (Environmental, Social & Governance) reporting is evolving rapidly, driven by stricter European regulations and rising expectations from investors, customers, and society. What was once a requirement mainly for large, listed corporations is now extending to a much broader set of companies, with listed SMEs entering the scope in the next few years and non-listed SMEs increasingly encouraged to follow voluntary standards.
For most organizations, however, ESG reporting remains a complex task. Data is often scattered across multiple systems, methodologies lack consistency, and requirements continue to evolve. Many companies struggle with identifying the right KPIs, ensuring reliable data quality, and translating technical sustainability metrics into clear, compliant reports. The result is a process that is typically manual, resource-intensive, and difficult to scale, particularly for companies without large internal sustainability teams.
This is where Wiimer’s ESG Analytics comes in. By combining advanced data science, AI, and sector-specific expertise, our solution converts ESG reporting from a burden into a streamlined, automated, and value-creating process, helping companies not only comply with regulations but also unlock strategic insights.
And because we know that every sector and every client has its own unique challenges, our methodology is always tailor-made to each client’s reality.
Your ESG roadmap, designed to fit.

Diagnosis & KPI Definition and Prioritization
Data Mapping & Integration
Algorithm Implementation
Platform Deployment & Intelligence

Data Entry
Data entry based on ESG KPIs selected and calculated according to applicable legislation and internationally recognized best practices and standards.
Illustration of the data entry platform - Talent Retention KPIs | Fictional data
ESG Analytics Platform
The ESG Analytics Platform presents the analyses of ESG KPIs, and provides organizations with intelligence and valuable strategic insights on ESG performance.

Illustration of the ESG Analytics Platform | Fictional data

AI Algorithm for ESG
The AI algorithm developed by Wiimer using LLMs (large language models) processes the organization's ESG data and supports the analysis of corporate performance and the planning of ESG initiatives.

co-financed by

Project Objectives: Promotion of business models, products or digital services that contribute positively to the climate transition through high efficiency in the use of resources; promotion of business models, products or digital services that enable the reduction of pollution impacts; promotion of business models, products or digital services that foster the circular economy; promotion of business models, products or digital services characterized by the use of Open Data or Artificial Intelligence; promotion of business models, products or services with a clear digital component that are environmentally friendly and do not cause significant harm to any environmental objective within the meaning of Article 17 of Regulation (EU) 2020/852 of the European Parliament and of the Council – the EU Taxonomy Regulation