000			04360cam a2200433 i 4500
999			_c82980 _d82980
001			18169360
003			CITU
005			20220928153412.0
008			140529s2014 nyua b 001 0 eng
010			_a 2014013347
020			_a9781118867105 (hardback)
040			_aCITU LRAC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aHD30.23 _b.C669 2014
082	0	0	_a658.4013 _223
084			_aBUS019000 _2bisacsh
100	1		_aCordoba, Alberto, _d1958- _eauthor
245	1	0	_aUnderstanding the predictive analytics life cycle / _cAlberto Cordoba.
246	1		_iTitle on spine: _aUnderstanding the predictive analytics lifecycle
264		1	_aHoboken, New Jersey : _bWiley, _c2014.
300			_axiv, 221 pages : _billustrations ; _c24 cm.
336			_atext _2rdacontent _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _2rdacarrier _bnc
490	0		_aWiley and SAS business series
504			_aIncludes bibliographical references and index.
505	8		_aMachine 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 .
520			_a"A high-level, informal look at the different stages of the predictive analytics cycleUnderstanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics initiative. Through the use of illuminating case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase of the predictive analytics cycle to create a playbook for future projects.Predictive business analytics involves a wide variety of inputs that include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking insight into making business decisions and actions, all of these factors must properly align. The book focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions. The book includes: An overview of all relevant phases: design, prepare, explore, model, communicate, and measure Coverage of the stages of the predictive analytics cycle across different industries and countries A chapter dedicated to each of the phases of the development of a predictive initiative A comprehensive overview of the entire analytic process lifecycle If you're an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide"-- _cProvided by publisher.
520			_a"Covers each phase of the development of a predictive analytics initiative. Through the use of case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book illustrates each phase of the predictive analytics cycle to create a playbook for future projects"-- _cProvided by publisher.
650		0	_aDecision making _xStatistical methods.
650		0	_aForecasting _xMathematical models.
650		0	_aBusiness planning.
650		7	_aBUSINESS & ECONOMICS / Decision-Making & Problem Solving. _2bisacsh
776	0	8	_iOnline version: _aCordoba, Alberto, 1958- _tUnderstanding the predictive analytics lifecycle _dHoboken, New Jersey : Wiley, 2014 _z9781118938935 _w(DLC) 2014022935
856	4	2	_3Cover image _uhttp://catalogimages.wiley.com/images/db/jimages/9781118867105.jpg
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK