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Project Data Summaries Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Project Data Summaries book. This book definitely worth reading, it is an incredibly well-written.
Author : Systems Consultants, inc
Publisher : Unknown
Page : 80 pages
File Size : 45,7 Mb
Release : 1976
Category : Solar energy
ISBN : UCSB:31205021242084
Author : Mario Vanhoucke
Publisher : Apress
Page : 164 pages
File Size : 43,7 Mb
Release : 2018-03-27
Category : Business & Economics
ISBN : 9781484234983
Discover 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 Who This Book Is For Project managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles
Author : United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis
Publisher : Unknown
Page : 632 pages
File Size : 52,9 Mb
Release : 2024-06-25
Category : Community health services
ISBN : STANFORD:36105133746003
Author : United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis
Publisher : Unknown
Page : 448 pages
File Size : 52,8 Mb
Release : 1974
Category : Community health services
ISBN : IND:30000090150966
Author : United States. Health Services Administration. Bureau of Community Health Services
Publisher : Unknown
Page : 548 pages
File Size : 42,8 Mb
Release : 1974
Category : Community health services
ISBN : IND:30000090151444
Author : Anonim
Publisher : Unknown
Page : 602 pages
File Size : 42,8 Mb
Release : 1952
Category : Field crops
ISBN : CORNELL:31924055203651
Author : United States. National Air Pollution Control Administration. Division of Air Quality and Emission Data
Publisher : Unknown
Page : 112 pages
File Size : 44,9 Mb
Release : 1967
Category : Air
ISBN : UOM:39015007748117
Author : Anonim
Publisher : Unknown
Page : 112 pages
File Size : 50,6 Mb
Release : 1969
Category : Air
ISBN : STANFORD:36105216604038
Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 50,6 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author : C. Ma
Publisher : Unknown
Page : 432 pages
File Size : 53,7 Mb
Release : 1992
Category : Earth (Planet)
ISBN : UCSD:31822009211723
Author : J. W. Ryan,Ma, C.
Publisher : Unknown
Page : 148 pages
File Size : 44,6 Mb
Release : 1985
Category : Earth
ISBN : NASA:31769000563497
Author : Seweryn Spalek,J. Davidson Frame,Yanping Chen,Carl Pritchard,Alfonso Bucero,Werner Meyer,Ryan Legard,Michael Bragen,Klas Skogmar,Deanne Larson,Bert Brijs
Publisher : Taylor & Francis Group/CRC Press
Page : 11 pages
File Size : 40,6 Mb
Release : 2019-01-01
Category : Business & Economics
ISBN : 9781138307285
Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.
Author : National Science Foundation (U.S.). Division of Science Resources Studies
Publisher : Unknown
Page : 108 pages
File Size : 41,9 Mb
Release : 1989
Category : Federal aid to research
ISBN : MINN:30000011055708
Author : G. P. Kruseman
Publisher : Unknown
Page : 388 pages
File Size : 40,5 Mb
Release : 1990
Category : Aquifers
ISBN : UOM:39015026547532
Author : Charles Vanover,Paul Mihas,Johnny Saldana
Publisher : SAGE Publications
Page : 412 pages
File Size : 52,9 Mb
Release : 2021-04-14
Category : Social Science
ISBN : 9781544395906
This text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume, and drawing on the expertise of major names in the field. Covering all the steps in the process of analyzing, interpreting, and presenting findings in qualitative research, the authors utilize a consistent chapter structure that provides novice and seasoned researchers with pragmatic, "how-to" strategies. Each chapter introduces the method; uses one of the authors′ own research projects as a case study of the method described; shows how the specific analytic method can be used in other types of studies; and concludes with questions and activities to prompt class discussion or personal study.
