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"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."@en
"Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance."@en
"Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations.This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance."

genre

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"Online-Publikation"
"Electronic books"
"Electronic books"@en
"Livres électroniques"

name

http://schema.org/name

"Credit Scoring, Response Modeling, and Insurance Rating : A Practical Guide to Forecasting Consumer Behavior"
"Credit scoring, response modeling, and insurance rating a practical guide to forecasting consumer behavior"@en
"Credit scoring, response modeling, and insurance rating a practical guide to forecasting consumer behavior"
"Credit Scoring, Response Modeling, and Insurance Rating A Practical Guide to Forecasting Consumer Behavior"
"Credit scoring, response modeling and insurance rating a practical guide to forecasting consumer behavior"
"Credit scoring, response modeling and insurance rating A practical guide to forecasting consumer behavior"@en
"Credit scoring, response modeling, and insurance rating : a practical guide to forecasting consumer behavior"
"Credit Scoring, Response Modeling, and Insurance Rating a Practical Guide to Forecasting Consumer Behavior"@en

workExample

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