• Membership

    More than 30,000 professionals make up the ecosystem of Cetif: we facilitate the meeting and exchange between banks, insurers and companies in an academic Center, competent and independent environment to share knowledge, experience and strategies on the most innovative drivers of change.

  • Research

    16 Research Hubs focused on dynamics of strategic evolution, regulatory updates, organizational and process practices, and the effects of digitization: we study innovation trends and best practices and share them with our communities.

  • Events

    Over 60 events including Main events (Workshop and Summit) and Community events (related to research activities) and Webinar: we bring together banks, insurance companies and businesses for shared growth on trends and challenges to outline innovative development strategies.

Advisory

ESG for small and medium-sized enterprises

In the Italian socioeconomic landscape, SMEs represent a key strategic asset for the transition to the sustainability goals given by the European Union's 2030 and 2050 Agenda.

 

 

The ecosystem project of Cetif Advisory implements a certified experimentation model to accompany enterprises to a standard methodology to reduce the time to market of data production.

 

In the 4 phases of experimentation(Concept Design, Fast Prototyping, Business Simulation, Outcome Analysis) Cetif, the banking system and SMEs will be involved in the implementation of a solution, hypothesized and put into practice with the support of software.

 

The entire Governance of the project, consisting of the Scientific Committee and Lab Committee, will coordinate the process by establishing phases of conception and implementation.

 

Mission and Goals

The absence of certain reporting standards does not allow SMEs to produce qualitatively correct and certified ESG data.

 

In addition, the lack of a direct channel targeting all businesses causes a silo model that does not generate innovation and efficiency.

 

The goal is to build synergies and relationships to optimize the data acquisition process, with performance metrics on ESG analysis of small and medium-sized enterprises; the development of a shared data model; and the implementation of a platform that monitors all process steps.

 

 

 

 

 

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