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Younglimwon Soft Lab and Shinhan Bank Join Forces to Support Digital Transformation of Public-Service Organizations
๐Ÿ‡ฐ๐Ÿ‡ท South Korea /Technology

Younglimwon Soft Lab and Shinhan Bank Join Forces to Support Digital Transformation of Public-Service Organizations

From Dong-A Ilbo · () Korean

Translated from Korean and summarized by DistantNews. Read the original for the full story.

At a glance

News Sources not specified New plan
  • Younglimwon Soft Lab and Shinhan Bank are offering public-service organizations a monthly discount of 100,000 won for six months when they newly subscribe to the SystemEver Nonprofit cloud ERP service.
  • The service supports nonprofit accounting standards, financial statements, tax authority disclosures, contributed-property reports, donation management, dedicated accounts and donated goods.

Younglimwon Soft Lab and Shinhan Bank are partnering to help public-service organizations move their accounting and financial work online.

Under the partnership, eligible organizations that newly subscribe to Younglimwon Soft Labโ€™s SystemEver Nonprofit cloud ERP through Shinhan Bank will receive a 100,000 won monthly discount for six months. The maximum discount is 600,000 won.

Public-service organizations must manage donations and contributed assets while also handling double-entry bookkeeping, annual financial disclosures to the National Tax Service and dedicated-account management. They also need to prepare financial statements under public-service organization accounting standards and file reports on contributed property.

SystemEver Nonprofit is designed for these specialized tasks. It supports double-entry bookkeeping, financial-statement preparation, National Tax Service disclosures and contributed-property reporting. The system can automatically create accounting slips during income and expenditure approval processes and connect donations, dedicated accounts and sponsored goods with accounting records.

About this summary

Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.