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Credit Scoring, Response Modeling, and Insurance Rating: A Practical Guide to Forecasting Consumer Behavior
Steven Finlay
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Description for Credit Scoring, Response Modeling, and Insurance Rating: A Practical Guide to Forecasting Consumer Behavior
Hardcover. A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance. Num Pages: 314 pages, biography. BIC Classification: KCK; KFFL. Category: (P) Professional & Vocational. Dimension: 221 x 137 x 23. Weight in Grams: 502.
A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.
A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.
Product Details
Format
Hardback
Publication date
2012
Publisher
Palgrave Macmillan
Number of pages
320
Condition
New
Number of Pages
297
Place of Publication
Basingstoke, United Kingdom
ISBN
9780230347762
SKU
V9780230347762
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Steven Finlay
STEVEN FINLAY has worked in the field of predictive analytics for over fifteen years. His research interests cover all areas of predictive analytics, forecasting and data mining. He is currentlya Predictive Analytics Specialist, working for the UK Government, and is a visiting research fellow within the Lancaster University Management School, UK.
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