CHAPTER 8 Example Applications

Analytics is hot and is being applied in a wide variety of settings. Without claiming to be exhaustive, in this chapter, we will briefly zoom into some key application areas. Some of them have been around for quite some time, whereas others are more recent.


The introduction of compliance guidelines such as Basel II/Basel III has reinforced the interest in credit scorecards. Different types of analytical models will be built in a credit risk setting.1 A first example are application scorecards. These are models that score credit applications based on their creditworthiness. They are typically constructed by taking two snapshots of information: application and credit bureau information at loan origination and default status information 12 or 18 months ahead. This is illustrated in Figure 8.1.


Figure 8.1 Constructing a Data Set for Application Scoring

Table 8.1 provides an example of an application scorecard.

Table 8.1 Example Application Scorecard

Characteristic Name Attribute Points
Age 1 Up to 26 100
Age 2 26−35 120
Age 3 35−37 185
Age 4 37+ 225
Employment status 1 Employed 90
Employment status 2 Unemployed 180
Salary 1 Up to 500 120
Salary 2 501−1,000 140
Salary 3 1,001−1,500 160
Salary 4 1,501−2,000 200
Salary 5 2,001+ 240

Logistic regression is a very popular application scorecard ­construction ...

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