Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms
Credit Data and Scoring explores the connection between financial information, scoring systems, big data, and algorithms. Framing credit scoring as a landmark application of data-driven analysis, the book offers a focused look at how computational methods have influenced financial decision-making.
About This Book
Credit Data and Scoring examines the relationship between credit information, scoring systems, and data-driven analysis.
The book focuses on the role of big data and algorithms in the development and use of credit scoring.
It presents credit scoring as an important example of how large-scale data and computational methods can shape financial decision-making.
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