Название: Intelligent Credit Scoring
Автор: Siddiqi Naeem
Издательство: John Wiley & Sons Limited
Жанр: Зарубежная образовательная литература
isbn: 9781119282334
isbn:
In any analytics infrastructure project, this is typically the most difficult and lengthiest phase. Organizations have dirty data, disparate data on dozens and sometimes hundreds of databases with no matching keys, incomplete and missing data, and in some cases coded data that cannot be interpreted. But this is the most important phase of the project, and fixing it has the biggest long-term positive impact on the whole process. Without clean, trusted data, everything else happening downstream is less valuable. We recognize, however, that waiting for perfectly matched clean data for all products before starting scorecard development, especially in large banks with many legacy systems, is not realistic. There is a reason EDW is known as “endless data warehouse” in far too many places. In order to get “quick hits,” organizations often take silo approaches and fill the data warehouse with information on one product, and then build and deploy scorecards for that product. They then move on to the next set of products in a sequential manner. This helps in showing some benefit from the data warehouse in the short term and is a better approach than waiting for all data for all products to be loaded in.
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1
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