The Observatory on Practices of Entrepreneurs and Enterprises (OPEE) aims to help entrepreneurs and policy makers improve the survivability and growth of small and medium-sized enterprises (SMEs) and ensure their integration into local, national, and global value chains. It proposes an innovative approach to open-system companies and develops analysis tools dedicated to small businesses (more than 1 and fewer than 50 employees).

The OPEE teams either are from the academic world or have close ties with the research world. They create economic models for companies and use the latest data analysis techniques to facilitate their development.

The OPEE provides a framework for the formulation of action proposals for enterprises and has created a tool (SBAT: Small Business Assessment Tool) for analyzing public policy support for entrepreneurship in local communities, governments, and international agencies.

SBAT is a tool designed for small and medium-sized businesses. It aims not only to evaluate your activity for free but also to compare it with your competitors. This tool enables you to make choices to ensure a safe and prosperous future.

SBAT aims to do the following:

  • Identify the strengths and weaknesses of your business
  • Help you make the best decisions by evaluating your strengths
  • Develop entrepreneurship within your territories
  • Help governments to implement the best entrepreneurship policies
SBAT is totally free, confidential, secure, easy-to-use, and has no commercial purpose. The tool was created so that you can diagnose your activity without time or money constraints. The questionnaire is mutually beneficial:
  • You benefit from direct assistance in the development of your company.
  • You participate in a data collection operation that will have a significant impact on academic research aimed at improving and developing policies to support business and entrepreneurship.
SBAT was designed by researchers and lecturers, economists, managers, mathematicians, and statisticians. It provides the greatest amount of accumulated knowledge in the fields of management of enterprise, databases, and data mining techniques, including the following:
  • Deterministic techniques (hierarchical ascending classifications)
  • Non-deterministic techniques (Kohonen topological map)
  • Supervised and unsupervised methods (decision tree, random forest, CUBT method, etc.)