LEADER 01337nas 2200373-a 450 001 9910891233503321 005 20240413014757.0 011 $a2783-6819 035 $a(CKB)2320000000015813 035 $a(CONSER)--2010252263 035 $a(DE-599)ZDB2600964-X 035 $a(EXLCZ)992320000000015813 100 $a20100518a19999999 --- - 101 0 $alit 200 10$aColloquia 210 $aVilnius $cLietuviu? kalbos ir literatu?ros institutas 215 $a1 online resource 300 $aEarlier volumes have individual titles. 311 08$aPrint version: Colloquia (Vilnius, Lithuania) (DLC) 2010252263 (OCoLC)619286514 1822-3737 606 $aLithuanian literature$xHistory and criticism 606 $aLiterature$xHistory and criticism 606 $aLiterature$2fast$3(OCoLC)fst00999953 606 $aLithuanian literature$2fast$3(OCoLC)fst01000411 608 $aCriticism, interpretation, etc.$2fast 615 0$aLithuanian literature$xHistory and criticism. 615 0$aLiterature$xHistory and criticism. 615 7$aLiterature. 615 7$aLithuanian literature. 712 02$aLietuviu? literatu?ros ir tautosakos institutas (Lietuvos Mokslu? akademija) 906 $aJOURNAL 912 $a9910891233503321 920 $aexl_impl conversion 996 $aColloquia$91778003 997 $aUNINA LEADER 05553nam 22007335 450 001 9910298205603321 005 20200701185804.0 010 $a9781484234983 010 $a1484234987 024 7 $a10.1007/978-1-4842-3498-3 035 $a(CKB)4100000002891936 035 $a(MiAaPQ)EBC5334739 035 $a(DE-He213)978-1-4842-3498-3 035 $a(WaSeSS)IndRDA00116060 035 $a(CaSebORM)9781484234983 035 $a(PPN)225554143 035 $a(OCoLC)1031706563 035 $a(OCoLC)on1031706563 035 $a(EXLCZ)994100000002891936 100 $a20180327d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Data-Driven Project Manager $eA Statistical Battle Against Project Obstacles /$fby Mario Vanhoucke 205 $a1st ed. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (164 pages) 311 08$a9781484234976 311 08$a1484234979 320 $aIncludes bibliographical references and index. 327 $aChapter 1: Background -- Chapter 2: Plan -- Chapter 3: Risk -- Chapter 4: Buffer -- Chapter 5: Monitor -- Chapter 6: Control -- Chapter 7: Exciting Times Ahead -- Chapter 8: Afterword -- Bibliography -- . 330 $aDiscover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as ?dynamic scheduling? or ?integrated project management and control.? It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project?s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project?s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project?s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn: Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control. 606 $aProject management 606 $aSuccess in business 606 $aCareers 606 $aLeadership 606 $aMarketing research 606 $aMotivation research (Marketing) 606 $aProject Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515020 606 $aCareers in Business and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/517020 606 $aBusiness Strategy/Leadership$3https://scigraph.springernature.com/ontologies/product-market-codes/515010 606 $aMarket Research/Competitive Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/513030 606 $aConsumer Behavior$3https://scigraph.springernature.com/ontologies/product-market-codes/513060 615 0$aProject management. 615 0$aSuccess in business. 615 0$aCareers. 615 0$aLeadership. 615 0$aMarketing research. 615 0$aMotivation research (Marketing) 615 14$aProject Management. 615 24$aCareers in Business and Management. 615 24$aBusiness Strategy/Leadership. 615 24$aMarket Research/Competitive Intelligence. 615 24$aConsumer Behavior. 676 $a658.404 700 $aVanhoucke$b Mario$4aut$4http://id.loc.gov/vocabulary/relators/aut$0963281 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910298205603321 996 $aThe Data-Driven Project Manager$92546129 997 $aUNINA