Database

Good Practices in Social Security

Database

Good Practices in Social Security

ISSA Database of Good Practices

This database provides ISSA members with privileged access to good practices, showcasing creative, smart and innovative ways to overcome challenges of social security administration at the institutional, national or international levels. Explore, be inspired by, and learn from these hard-earned and well-deserved successes of the ISSA members. Learn more about the ISSA Good Practices.

The map shows the first 100 results for the selected criteria.

Implementation year:
2020
Award Year:
2020
National Social Security Fund
,
Uganda
,
Africa

With many entities shifting their data from hard copies to digital computer systems in the early 1990s, there was a heavy reliance on human labour that was required to do the data entry process. This process however, did not come without consequences some of which included digitisation of existing errors, human error in the data capture, creation of suspense balances and subsequent loss of data. These challenges culminated into poor quality data, a critical matter that many entities are still facing to date. The National Social Security Fund (NSSF) of Uganda is no exception.

Topic:
Information and communication technology
Artificial intelligence
Data analytics
Data management
Contribution collection and compliance
Service quality
Error, evasion and fraud
Implementation year:
2020
Award Year:
2020
National Social Security Fund
,
Uganda
,
Africa

With many entities shifting their data from hard copies to digital computer systems in the early 1990s, there was a heavy reliance on human labour that was required to do the data entry process. This process however, did not come without consequences some of which included digitisation of existing errors, human error in the data capture, creation of suspense balances and subsequent loss of data. These challenges culminated into poor quality data, a critical matter that many entities are still facing to date. The National Social Security Fund (NSSF) of Uganda is no exception.

Topic:
Information and communication technology
Artificial intelligence
Data analytics
Data management
Contribution collection and compliance
Service quality
Error, evasion and fraud