Improving data quality in the banking supervisory data of Southern Africa central banks
Loading...
Date
Authors
Motjolopane, Refiloe
Lutu, Patricia Elizabeth Nalwoga
Journal Title
Journal ISSN
Volume Title
Publisher
City University of Hong Kong
Abstract
The importance of effective supervision of banking institutions in developing countries cannot be over-emphasised. Central banks are responsible for the supervision of the banking institutions of a country. In order to effectively perform the supervisory role of banking
institutions, central banks need to collect and analyse data about the operations of the banking institutions they supervise. Data analysis is conducted in order to establish the health of these institutions. Central banks in the SADC region experience many problems with the quality of the data that they receive from the banking institutions they supervise. Needless to say, decisions made on the basis of poor quality data increase the risk of allowing unsound
institutions to continue in operation. This creates the real risk of loss of money by the individuals and organisations that form the clientele of these institutions, and will adversely affect the economy of the country. Despite the commendable efforts made by the regional
central banks to implement a banking supervision application to expedite the supervisory activities through instituting a one-stop-shop for all the banking supervisory information, and the introduction of an electronic platform for collecting and analysing periodic banking
supervision returns, there are still many imperfections in the information. A survey was conducted to investigate data quality problems at three SADC central banks. Recommendations are provided in this paper on measures that can be taken to improve the
quality of the banking supervisory data for the SADC central banks.
Description
Keywords
Data quality, Information quality, SADC banking supervision, Banking supervisory data
Sustainable Development Goals
Citation
Motjolopane, R & Lutu, PEN 2012, 'Improving data quality in the banking supervisory data of Southern Africa central banks', Electronic Journal of Information Systems in Developing Countries, vol. 50, no. 7, pp. 1-22.