000 | nam a22 4500 | ||
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999 |
_c116067 _d116067 |
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003 | OSt | ||
005 | 20200727152819.0 | ||
008 | 191001b ||||| |||| 00| 0 eng d | ||
020 | _a9781138307285 | ||
040 | _c | ||
082 |
_a658.40 _bDAT |
||
245 | _aData Analytics in Project Management | ||
260 |
_bCRC Press _c2019 _aBoca Raton |
||
300 | _a221p | ||
500 | _aTable of Contents Introduction - Seweryn Spalek Why Data Analytics in Project Management? - J. Davidson Frame, Yanping Chen Data Analytics Risk – Lost in Translation? - Carl Pritchard Analytical Challenges of a Modern PMO - Seweryn Spalek Data Analytics and Project Portfolio Management - Alfonso Bucero Earned Value Method - Werner Meyer How to Manage Big Data Issues in a Project Environment - Ryan Legard IT Solutions of Data Analytics as Applied to Project Management - Michael Bragen Conventional and Unconventional Data Mining for Better Decision Making - Klas Skogmar Agile Project Management and Data Analytics - Deanne Larson Data Analytics and Scrum -Bert Brijs | ||
700 |
_aSpalek, Seweryn _eEdited _942693 |
||
942 |
_2ddc _cLB _k658.4 _mDAT |