Abstract:
The cooperative Bank of Kenya is one of the leading financial institutions in the country providing credit to its
customers. The existing system entails filling of application forms which are then vetted through a grueling and
error prone process. The bank needs to verify the authenticity of documents submitted as collateral, evaluate the
credit worthiness of the client and establish that the client does not have huge outstanding loans with other
financial institutions.
In this study both spatial and non-spatial information on all securities owed to the bank was collected and
stored in a spatially aware database. From this databank, a solution was developed that allowed customer
information to be interrogated prior to processing his/her application. This solution will minimize human error,
reduce fraud in the banking sector and provide a spatial representation of all property used as loan security
The solution features an array of functionality to support loan appraisal, ensure security of access to the system
via a logging in interface and prepare reports and maps about customer information held by the bank. These
can be used to inform the customers why their applications were rejected. This solution largely automates the
process of loan appraisal to the point of award or rejection.
