| 000 | 05681cam a2200829 i 4500 | ||
|---|---|---|---|
| 001 | ocn881387969 | ||
| 003 | OCoLC | ||
| 005 | 20220701010948.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 140611s2014 nyu ob 001 0 eng | ||
| 010 | _a 2014022935 | ||
| 040 |
_aDLC _beng _erda _cDLC _dYDX _dN$T _dEBLCP _dIDEBK _dE7B _dYDXCP _dOCLCF _dDG1 _dUMI _dRECBK _dOCLCO _dCOO _dOCLCO _dDEBSZ _dDEBBG |
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| 019 |
_a893436813 _a961576958 _a962610511 |
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| 020 | _a9781118938928 (epub) | ||
| 020 | _a1118938925 (epub) | ||
| 020 | _a9781118938935 (pdf) | ||
| 020 | _a1118938933 (pdf) | ||
| 020 | _z9781118867105 (hardback) | ||
| 020 | _a9781118936740 | ||
| 020 | _a1118936744 | ||
| 020 | _a1118867106 | ||
| 020 | _a9781118867105 | ||
| 020 | _a9781322024462 | ||
| 020 | _a1322024464 | ||
| 029 | 1 |
_aCHBIS _b010259819 |
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_aCHVBK _b325939861 |
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| 035 |
_a(OCoLC)881387969 _z(OCoLC)893436813 _z(OCoLC)961576958 _z(OCoLC)962610511 |
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| 037 |
_aCL0500000490 _bSafari Books Online |
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| 042 | _apcc | ||
| 050 | 0 | 0 | _aHD30.23 |
| 072 | 7 |
_aBUS _x082000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x041000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x042000 _2bisacsh |
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| 072 | 7 |
_aBUS _x085000 _2bisacsh |
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| 082 | 0 | 0 |
_a658.4/013 _223 |
| 084 |
_aBUS019000 _2bisacsh |
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| 049 | _aMAIN | ||
| 100 | 1 |
_aCordoba, Alberto, _d1958- |
|
| 245 | 1 | 0 |
_aUnderstanding the predictive analytics lifecycle / _cAlberto Cordoba. |
| 264 | 1 |
_aHoboken, New Jersey : _bWiley, _c2014. |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aWiley & SAS business series | |
| 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. |
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| 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. |
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| 504 | _aIncludes bibliographical references and index. | ||
| 500 | _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 . | ||
| 588 | _aDescription based on print version record and CIP data provided by publisher. | ||
| 505 | 0 | _aProblem identification and definition -- Design and build -- Data acquisition -- Exploration and reporting -- Modeling -- Actionable analytics -- Feedback. | |
| 650 | 0 |
_aDecision making _xStatistical methods. |
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| 650 | 0 |
_aForecasting _xMathematical models. |
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| 650 | 0 | _aBusiness planning. | |
| 650 | 7 |
_aBUSINESS & ECONOMICS / Decision-Making & Problem Solving. _2bisacsh |
|
| 650 | 7 |
_aBusiness planning. _2fast _0(OCoLC)fst00842819 |
|
| 650 | 7 |
_aDecision making _xStatistical methods. _2fast _0(OCoLC)fst00889068 |
|
| 650 | 7 |
_aForecasting _xMathematical models. _2fast _0(OCoLC)fst00931728 |
|
| 655 | 4 | _aElectronic books. | |
| 655 | 0 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aCordoba, Alberto, 1958- _tUnderstanding the predictive analytics lifecycle _dHoboken, New Jersey : Wiley, 2014 _z9781118867105 _w(DLC) 2014013347 |
| 830 | 0 | _aWiley and SAS business series. | |
| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1002/9781118936740 _zWiley Online Library |
| 994 |
_a92 _bDG1 |
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| 999 |
_c21489 _d21448 |
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