000 | 05743cam a2200613Mi 4500 | ||
---|---|---|---|
001 | 9780429434891 | ||
003 | FlBoTFG | ||
005 | 20220509193129.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 181103s2018 xx ob 001 0 eng d | ||
040 |
_aOCoLC-P _beng _epn _cOCoLC-P |
||
020 | _a9780429786365 | ||
020 | _a0429786360 | ||
020 |
_a9780429434891 _q(electronic bk.) |
||
020 |
_a0429434898 _q(electronic bk.) |
||
020 |
_a9780429786358 _q(electronic bk. ; _qEPUB) |
||
020 |
_a0429786352 _q(electronic bk. ; _qEPUB) |
||
020 |
_a9780429786341 _q(electronic bk. ; _qMobipocket) |
||
020 |
_a0429786344 _q(electronic bk. ; _qMobipocket) |
||
020 |
_z9781138307285 _q(hbk.) |
||
024 | 7 |
_a10.1201/9780429434891 _2doi |
|
035 | _a(OCoLC)1061126473 | ||
035 | _a(OCoLC-P)1061126473 | ||
050 | 4 |
_aHD69.P75 _bD374 2019eb |
|
072 | 7 |
_aBUS _x101000 _2bisacsh |
|
072 | 7 |
_aCOM _x021030 _2bisacsh |
|
072 | 7 |
_aMAT _x029000 _2bisacsh |
|
072 | 7 |
_aUN _2bicssc |
|
082 | 0 | 4 | _a658.4/040285 |
100 | 1 | _aSpalek, Seweryn. | |
245 | 1 | 0 |
_aData analytics in project management / _cSeweryn Spalek. |
260 |
_aMilton : _bAuerbach Publications, _c2018. |
||
300 | _a1 online resource (235 pages). | ||
336 |
_atext _btxt _2rdacontent |
||
336 |
_astill image _bsti _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 | _aData analytics applications | |
505 | 8 | _aCover; Half Title; Series Page; Title Page; Copyright Page; Contents; About the Editor; Contributors; Chapter 1 Introduction; Chapter 2 Why Data Analytics in Project Management?; Taking Root; The View from 10,000 Meters; Data Warehousing; Project Manager; Project Office; Chief Operating Officer (COO); Executive Committee; Descriptive, Predictive, and Prescriptive Data Analytics; Data Analytics 3.0?; Once Again: Why Data Analytics in Project Management?; References; Chapter 3 Data Analytics Risk: Lost in Translation?; The Risk Management Process; Establishing Tolerance. | |
505 | 8 | _aRisk and Data Analytics LanguageData Collection Risk; What Data Do We Need and Why? (Risk #1-The Need); Is the Data Properly Sourced? (Risk #2-The Source); Is the Data Consistent (Risk #3-Consistency Risks); Risk Collection; Engage Meaningful Stakeholders; Gather Risk Insight Consistently; Focus on the Mission; Exploratory vs. Confirmatory vs. Predictive; Exploratory Risk in Data Analytics; Availability; Integrity; Exploratory Trends; Confirmatory Analytics Risks; Data Availability; Data Integrity; Data Trends; Past Performance Is Not Inherently Indicative of Future Results. | |
505 | 8 | _aPredictive Risk in Data AnalyticsThe Future Is Unknown; The Future Environment Is Only Partially Knowable; Predictive Analysis and Consequences; Risk in Communicating Results; When to Share; How to Share; With Whom to Share the Message; Solving and Resolving Our Data Analytics Risks; Will It Work Consistently?; Does It Generate More Harm than Good?; Does It Allow for the Same Outputs as Other Data in the Analysis?; Success!; Chapter 4 Analytical Challenges of a Modern PMO; Toward an Analytically Matured PMO; Methods and Tools; Human Resources; Project Environment; Project Knowledge Management. | |
505 | 8 | _aThe PMO as the Multilevel Data Analysis CenterProjects, Portfolio, and Organization; Project Level; Portfolio Level; Organization Level; Operations, Tactics, and Strategy; Operational Level; Tactical Level; Strategic Level; The Challenge of Multi-Sourced Data; References; Chapter 5 Data Analytics and Project Portfolio Management; Introduction; Project Portfolio Management and Data Analytics; Levels of Analysis; Descriptive analysis-this helps answer the question, "What has happened?"; Predictive analysis-this helps answer a more important question, "What will happen?" | |
505 | 8 | _aPrescriptive analysis-this helps answer a more difficult question, "What we should do?"Approach; Portfolio Reports: Portfolio Bubble Charts; Benefits of Portfolio Bubble Charts; Data Needed; PPM and Decision-Making; Project Portfolio Management as a Rational Decision- Making Process; Project Portfolio Management: Practice and Context; Main Roles in Data Analytics; Role; Responsibilities; Requirements; Data Analytics and Project Portfolio Performance; Conclusions; References; Chapter 6 Earned Value Method; Introduction; EVM Methods; Descriptive EVM; Predictive EVM; Earned Value Graphs. | |
500 | _aInterpreting Earned Value Results. | ||
520 | _aThis book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book's integrated approach to investigating both fields enhances the value of research findings. | ||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aProject management _xData processing. |
|
650 | 0 |
_aProject management _xStatistical methods. |
|
650 | 7 |
_aBUSINESS & ECONOMICS _xProject Management. _2bisacsh |
|
650 | 7 |
_aCOMPUTERS _xDatabase Management _xData Mining. _2bisacsh |
|
650 | 7 |
_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429434891 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c130510 _d130510 |