Data analytics in project management / (Record no. 130510)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05743cam a2200613Mi 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429434891 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220509193129.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 181103s2018 xx ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | pn |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429786365 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429786360 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429434891 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429434898 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429786358 |
| -- | (electronic bk. ; |
| -- | EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429786352 |
| -- | (electronic bk. ; |
| -- | EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429786341 |
| -- | (electronic bk. ; |
| -- | Mobipocket) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429786344 |
| -- | (electronic bk. ; |
| -- | Mobipocket) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781138307285 |
| -- | (hbk.) |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1201/9780429434891 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1061126473 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1061126473 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD69.P75 |
| Item number | D374 2019eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | BUS |
| Subject category code subdivision | 101000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 021030 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 029000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UN |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4/040285 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Spalek, Seweryn. |
| 245 10 - TITLE STATEMENT | |
| Title | Data analytics in project management / |
| Statement of responsibility, etc | Seweryn Spalek. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Milton : |
| Name of publisher, distributor, etc | Auerbach Publications, |
| Date of publication, distribution, etc | 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (235 pages). |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 336 ## - | |
| -- | still image |
| -- | sti |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Data analytics applications |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover; 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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Risk 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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Predictive 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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | The 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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Prescriptive 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 ## - GENERAL NOTE | |
| General note | Interpreting Earned Value Results. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This 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 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Project management |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Project management |
| General subdivision | Statistical methods. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | BUSINESS & ECONOMICS |
| General subdivision | Project Management. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | COMPUTERS |
| General subdivision | Database Management |
| -- | Data Mining. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS |
| General subdivision | Probability & Statistics |
| -- | General. |
| Source of heading or term | bisacsh |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9780429434891 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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