Methods of Graphically Viewing and Editing Busines Logic, Data Structure

Detta är en Master-uppsats från Institutionen för informationsteknologi

Författare: Shahzad Gul; [2011]

Nyckelord: ;

Sammanfattning: For financial institutions such as, who desire to lend money to the borrower or an invoice factoring companies who are looking to buy invoices, credit policy is a primary concern and vital measure for the risk or marketability associated with the particular issue. The goal of credit risk management is to maximize the profitability while reducing the risk of credit loss within the acceptable parameters. In the wake of high profile bankruptcies, there has been recent speculation about the correctness and reliability of credit risk prediction. Based on these issues, there is sufficient motivation to develop more gainful policy analysis system to predicting credit worthiness of the customers. The system is investigated; designed and implemented that accomplishes the requirements of Risk department at Klarna. The result of the thesis work is KLAPAS, which enables the users to create custom policies and apply them on selective set of transactions.

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