Gwangju Gyeongjinwon, Data Analysis and Utilization Support Project Matching Day

[Asia Economy Honam Reporting Headquarters Reporter Park Jin-hyung] The Gwangju Economic Employment Promotion Agency held a matching day for the data analysis and utilization support project targeting small and medium-sized enterprises (SMEs) in the Gwangju area that require data utilization, together with a data processing and analysis specialized company, on the 19th.

The 2022 SME Data Analysis and Utilization Support Project supports the self-sustainability of SMEs in the Gwangju area and the creation of a data-based ecosystem. It is a project aimed at reducing the gap in data utilization capabilities between regions and companies, promoting the digital transformation of SMEs.

Before the event, Director Park Sung-soo said in his greeting, “The Gwangju Economic Employment Promotion Agency is a central institution that leads the Gwangju economy by supporting SMEs, small business owners, and export companies, and creating jobs,” adding, “The data analysis and utilization support project for local SMEs is expected to activate the data-based ecosystem by enhancing the digital transformation and data analysis usability of SMEs in Gwangju Metropolitan City.”

At the matching day, 20 local SMEs including Ecopiece and Point Tech Co., Ltd., which were selected through a 2:1 competition, participated. About 50 people from data processing and analysis specialized institutions such as Idro Management Partners and the Korea Artificial Intelligence Verification Institute attended. The main programs included an introduction to the support plan for SMEs and 1:1 matching between companies and data analysis experts.

The data analysis and utilization support project is a project that supports SMEs in the region by having data analysis experts process, analyze, and visualize data based on data owned by SMEs, SNS marketing data, corporate data, and smart factory operation data, thereby deriving ways to seek management rationalization. This enables practical data-based management rationalization.

This content was produced with the assistance of AI translation services.