Designing sound SMEs and entrepreneurship (SME&E) policies can only be done with solid, new or augmented evidence, which requires tapping into additional data sources to complement existing statistics and enable more in-depth analysis. Under the aegis of the Committee on SMEs and Entrepreneurship (CSMEE), the OECD is developing a new knowledge infrastructure on SMEs and entrepreneurship, which will provide policy makers with quantitative indicators on SME&E performance and business conditions, along with qualitative policy information cutting across different policy domains. |
Rationale and backgroundThe COVID-19 crisis has emphasised the need for more and better data to support SMEs and entrepreneurs. The urgency with which governments had to act while facing a very heterogeneous SME&E sector that typically requires adapting public intervention to specific contexts, highlighted the limitations of existing statistical systems to provide the granular and timely data needed to inform policy decisions. This is likely to remain an issue as countries begin to phase out support through a differentiated approach that might seek to maintain support for the most vulnerable segments of the SME&E population, i.e. the youngest and smallest firms, or women and young entrepreneurs, which have benefited less from rescue packages. The OECD Data Lake on SMEs and Entrepreneurship is a knowledge infrastructure that will be developed incrementally in support of SME and entrepreneurship policy analysis. It aims to serve as a “one-stop-shop” platform on SME&E performance, business conditions and policies. As new data analytic techniques (e.g. artificial intelligence) permit to develop more elaborate models, using diverse data formats (structured, unstructured or raw), the development of such an infrastructure will provide a framework to increase analytical capacity and access to relevant information and indicators. |
Conceptual frameworkHow SMEs and entrepreneurs perform is determined by their business environment; a range of institutional, regulatory, infrastructural and market conditions; as well as the conditions under which they can access strategic resources, such as finance, skills and innovation assets (including technology, data and networks). |
The OECD SME and Entrepreneurship Outlook
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Strategic objectives of a Data LakeThe OECD Data Lake on SMEs and Entrepreneurship Policy (SME&E data lake) aims to: ► Create a holistic picture of – and easing access to – data on SME&E: serve as a one-stop-shop for accessing SME&E relevant data, from either OECD or other sources. ► Increase capacity for SME&E policy analysis: reduce fragmentation and enable data concentration in a single digital space to enhance analytical capacity and promote experimentation of new data sourcing and data science techniques. ► Provide a framework for a renewed data agenda and data partnerships: cultivate a smart data ecosystem by co-innovating and co-investing in (new) data commons with interested partners and organisations. ► Support broader dissemination and mainstreaming: serve as a back-office for producing SME&E flagship reports, as well as country and thematic work, thereby bridging evidence across work streams and policy silos. Beyond the SME and Entrepreneurship Outlook, the transversal nature of the data lake will support a broad set of SME&E related work streams and CSMEE outputs, including for example the OECD SME Strategy, the SME Finance Scoreboard, as well as the development of new entrepreneurship indicators.
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Next steps► Q3/4 2022: Leverage infrastructure for the production of SME and Entrepreneurship Outlook 2023. ► Q4 2022: Launch of the policy dashboard developed for the EC/OECD SME Scale Up project, serving as a “proof of concept” for the OECD SME&E data lake. ► 2023-24: Continued technical improvements and development of data and capacity partnerships |
ContentsThe SME&E data lake will feature quantitative indicators on SME&E performance and business conditions, along with qualitative policy information cutting across different policy domains. In addition, it will provide new analytical and visualisation tools to consult and navigate contents, thus enabling an improved data exploration and the mobilisation of more complex analytical techniques compared to traditional data storage platforms. |
Joining the initiativeCountries, national statistical offices (NSOs), international organisations, data providers, chambers of commerce, business associations and the private sector are invited to join the SME&E data lake initiative and contribute to the renewal of the data agenda for SME&E policy by exploring opportunities for data and capacity partnerships. |
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