Within the financial services industry today, most decisions on how to deal with consumers are made automatically by computerized decision making systems. At the heart of these systems lie mathematically derived forecasting models. These use information about people and their past behavior, to predict how people are likely to behave in the future. For example, who is likely to repay a loan, who will respond to a mail shot and the likelihood that someone will claim on their household insurance policy. Decisions about how to treat people are then made on the basis of the predictions calculated by the system. This book provides a step-by-step guide to how the forecasting models used by the worlds leading financial institutions are developed and deployed. It covers all stages involved in the construction of such a model, including project management, data collection, sampling, data pre-processing, model construction, validation, implementation and post-implementation monitoring of the model’s performance.
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STEVEN FINLAY has worked in the field of predictive analytics for over fifteen years. His research interests cover all areas of consumer credit, forecasting and data mining. He is currently Head of Analytics at HML in the UK and is a Visiting Research Fellow at the Lancaster University Management School, UK.
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Condición: New. Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed. Num Pages: 294 pages, biography. BIC Classification: KCJ; KFFL; KFFN; KNST. Category: (P) Professional & Vocational. Dimension: 219 x 145 x 23. Weight in Grams: 476. A Practical Guide to Forecasting Consumer Behaviour. 296 pages, 31 black & white tables, 32 figures. Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed. Cateogry: (P) Professional & Vocational. BIC Classification: KCJ; KFFL; KFFN; KNST. Dimension: 219 x 145 x 23. Weight: 476. . 2010. 1st Edition. Hardcover. . . . . Nº de ref. del artículo: V9780230577046
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. STEVEN FINLAY has worked in the field of predictive analytics for over fifteen years. His research interests cover all areas of consumer credit, forecasting and data mining. He is currently Head of Analytics at HML in the UK and is a Visiting Research Fello. Nº de ref. del artículo: 458413617
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