@book{207524,
	author = {Cordoba, Alberto,},
	title = {Understanding the predictive analytics lifecycle /},
	publisher = {Wiley,},
	year = {2014.},
	series = {Wiley & SAS business series},
	address = {Hoboken, New Jersey :},
	note = {Machine generated contents note:  Foreword Preface Acknowledgments Chapter 1 Problem Identification and Definition Importance of Clear Business Objectives Office Politics Note Chapter 2 Design and Build The Managing Phase The Planning Phase The Delivery Phase Notes Chapter 3 Data Acquisition Data: the Fuel for Analytics A Data Scientist's Job Notes Chapter 4 Exploration and Reporting Visualization Cloud Reporting Chapter 5 Modeling Churn Model Risk Scoring Model Notes Chapter 6 Actionable Analytics Digital Asset Management Social Media Chapter 7 Feedback What the Different Software Components Should Do Note Conclusion Appendix: Useful Questions Bibliography About the Author Index .},
	url = {http://onlinelibrary.wiley.com/book/10.1002/9781118936740}
}