Abstract:
Due to liberalization within the financial market, there has
been increased cash flow in banks. This has resulted in increased
competition among banks to secure and increase their customer
base, in an effort to remain profitable. Banks are foregoing the
multitude of checks that used to be conducted before granting any
mortgage facility to customers, in an effort to remain competitive.
This has led to a drastic increase in the number of credit card and
loan defaulters, leading to increased operation costs and reduction
in profit margins.
This research proposes an integrated GIS approach
enabling banks locate defaulting real estate properties used as
collateral. Using data provided by Kenya Commercial Bank
(KCB) for a locality in Kenya, a geodatabase was developed and a
custom application developed for the bank loan appraiser to use.
This application retrieves property information about a client
based on his/her bank account information. Based on a series of
spatially driven queries embedded in the solution, the appraiser
can prepare a detailed appraisal for the client in a very short time,
thereby satisfying the client, while not prejudicing the banks
position.