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ACC1AIS
AU
La Trobe University
With the help of a pivot table, I was able to group dataset together to analyze variables of interest. First, it the client job type was important as it provides information about the client’s ability to finance a loan. There are 10 groups of clients. Majority of the clients are married. 57% have a housing plan meaning they are already financing a liability and 43% do not have a housing plan. Previous campaign outcome is largely unknown at 82% and 0ver 2,000 clients has secondary education. Others have tertiary and primary education with only a few whose education remains unknown.
Clients with secondary and tertiary education are likely to subscribe for a loan facility compared to others. A campaign needs to be intensified towards clients with secondary education because they have a higher capacity to acquire a facility but the current intake is relatively low. Married clients are likely to take a facility compared to unmarried. This may be because of financial needs that comes with having to raise a family. Calls made should focus more in clients with secondary education and those that are married.
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