African Tax Administration Paper 24

The paper assesses the cleanliness of taxpayer returns at the Uganda Revenue Authority
(URA) in terms of: (a) completeness – the extent to which taxpayers submit all the required information as specified in the return forms; (b) accuracy – the extent to which the submitted information is correct; (c) consistency – the extent to which taxpayers submit similar information in cases where the same information is required in different types of tax returns, or submitted in the same type of tax return, but for different time periods; and (d) permanence – the extent to which the returns are likely to be later modified by taxpayers.

By digitising business processes, URA is collecting large amounts of data on individuals and firms in the course of administering taxation. This data is indeed a strategic asset as it can be used for improving tax compliance. The data however needs to be of sufficient quality for accurate decision making. Our assessment has identified a number of data quality gaps that exist in URA tax return information.

Authors

Jova Mayega

Jova Mayega has 14 years of experience in research and data management. He has worked with the Uganda Revenue Authority (URA) since 2013 and is currently in charge of statistics and policy analysis. Jova also served as a statistician at the Uganda Bureau of Statistics between 2010 and 2013 and as a data manager at BRAC Uganda from 2008 to 2010.

Ronald Waiswa

Ronald Waiswa is an Applied Research and Statistics Specialist at the African Tax Administration Forum (ATAF). Previously, he was a Research and Policy Analysis Supervisor at the Uganda Revenue Authority. He has collaborated with ICTD on a number of research projects in Uganda on issues including taxing wealthy individuals and public sector agencies.

Jane Nabuyondo

Jane Nabuyondo is a supervisor for Business Intelligence with 15 years of experience in tax administration and vast knowledge of government (public) operations. She is also the team lead in development and maintenance of the URA Data Warehouse/Business Intelligence solution, including overseeing the implementation of data governance initiatives in URA that will support the organisation to become a data driven entity.

Milly Isingoma Nalukwago

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