Automated business recovery practices in Uganda: A case study of national social security fund

Abstract

This study explored automated business recovery practices in Uganda using National Social Security Fund (NSSF) as a case study. Despite implementing automated systems, NSSF faces issues like unallocated funds and system inefficiencies. The study reveals that NSSF has implemented practices like data backup, cyber-security, and disaster recovery automation. However, it faces challenges in system redundancy and advanced technology adoption. The major challenges include insufficient staff training, stakeholder noncompliance, and lack of a comprehensive disaster recovery plan. To improve automated business recovery, the study recommends strengthening staff training on automated recovery systems and cyber-security. It also suggests enhancing governance through transparency and accountability mechanisms. Investing in advanced technologies like system redundancy, OCR, and ERP systems is also crucial. Additionally, developing a comprehensive disaster recovery plan can help minimize downtime in the event of disruptions. The study's findings and recommendations can be applied to other organizations in Uganda and beyond, highlighting the importance of investing in staff training, governance, and technology to ensure business continuity and resilience. By adopting these strategies, organizations can reduce the risk of data loss, system downtime, and reputational damage, ultimately enhancing their ability to operate effectively in a rapidly changing environment.