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Gathering and Preparing Data

In: Credit Scoring, Response Modelling and Insurance Rating

Author

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  • Steven Finlay

Abstract

If you have done any data analysis or modelling as part of a statistics course at university, then you were probably given a file containing a set of predictor variables and a dependent variable. All you had to do was read the data into the modelling software and worry about which data analysis and modelling procedures to apply. You probably didn’t have to give any thought to where the data came from or how it was prepared. In practice, it is rare for data to be provided in such a readily usable format. The data required for model building, more often than not, is scattered across multiple databases/data tables/IT systems and may be held in a variety of different formats. Work is required to extract relevant data from each source, and then match it together to produce a single data set that can be used for data analysis and model construction.

Suggested Citation

  • Steven Finlay, 2010. "Gathering and Preparing Data," Palgrave Macmillan Books, in: Credit Scoring, Response Modelling and Insurance Rating, chapter 4, pages 89-112, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-0-230-29898-9_4
    DOI: 10.1057/9780230298989_4
    as

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