<![CDATA[Proper management of customer registration data forms the primary foundation for a banking credit division in mapping market potential. This study aims to identify the characteristics and distribution patterns of credit customers at Bank Sulselbar Gowa Branch based on their originating agency and employment status. Using a quantitative descriptive approach, a total of 271 secondary registration data entries were processed through data cleaning, preprocessing, and cross-tabulation stages. The results show that customers with active status dominate the proportion of credit applicants (53.14%), followed by PPPK (21.03%). Based on originating agencies, the Local Government (28.78%) and Elementary Schools (27.68%) are the largest contributors. Cross-tabulation reveals that applicants from the education sector dominate the certification category. This study demonstrates that the efficiency of medium-scale credit administrative data management can be achieved through standardized data processing without relying on complex systems.]]>
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