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Datafactory is a website that works with you to create an artificial set of loan transaction data that can be used to build a mathematical model of default risk. The dataset created is only ever as useful as the information that is provided by Datafactory users. Users must specify:
Datafactory makes it easy to create, store and retrieve all of this information. The user is carefully guided through each step in the data creation process. All of the repetitive work involved in generating the example transactions is eliminated, allowing users to focus on creating examples that are informative to modellers and that are easy to compare at the risk assessment stage.
At the end of the data creation process, users are able to download a snapshot of the example transactions. Each transaction has a unique ID, the value of each risk factor, and its risk assessment (measured as a default probability). The usual mathematical methods can then be applied to this data to produce model expressing predicted default probability as a mathematical function of the risk factors associated with a transaction.