The Data-Driven Project Manager: A Statistical Battle Against Project Obstacles
暫譯: 數據驅動的專案經理：對抗專案障礙的統計戰鬥

Mario Vanhoucke

The Data-Driven Project Manager: A Statistical Battle Against Project Obstacles
  • 出版商: Apress
  • 出版日期: 2018-04-05
  • 售價: $1,600
  • 貴賓價: 9.5 折 $1,520
  • 語言: 英文
  • 頁數: 176
  • 裝訂: Paperback
  • ISBN: 1484234979
  • ISBN-13: 9781484234976
  • 相關分類: 大數據 Big-data、專案管理 PM、Data Science

    • 立即出貨 (庫存=1)

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商品描述

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

商品描述(中文翻譯)

探索專案經理面臨的常見障礙的解決方案。本書以商業小說的形式撰寫，具有高度互動性，讓讀者在專案的每個階段參與並考慮選項。本書基於作者多年來的經驗，包括他的研究專案以及在商學院的教學講座。

 

本書講述了艾蜜莉·瑞德（Emily Reed）和她的同事們負責管理一個新網球場專案的故事。公司的執行長雅各布·米切爾（Jacob Mitchell）計劃安裝一種新的數據驅動專案管理方法作為所有即將進行的專案的決策支持工具。他挑戰艾蜜莉和她的團隊開始探索專案數據，以應對意外的專案障礙。

 

數據驅動的專案管理在學術文獻中被稱為「動態排程」（dynamic scheduling）或「整合專案管理與控制」（integrated project management and control）。這是一種專案管理方法，旨在計劃、監控和控制正在進行的專案，以便按時並在預算內交付給客戶。其主要重點在於整合以下三個關鍵方面：

 





  • 基準排程：計劃專案活動以創建一個具有時間和預算限制的專案時間表。在活動網絡和資源限制內確定每個專案活動的開始和結束時間。了解預期的工作時間以及對專案時間和預算目標的預期影響。


  • 排程風險分析：分析基準排程的風險及其對專案時間和預算的影響。使用蒙地卡羅模擬（Monte Carlo simulations）來評估基準排程的風險，並預測時間和預算偏差對專案目標的影響。


  • 專案控制：測量和分析專案的績效數據，並採取行動使專案回到正軌。監控與預期專案進度的偏差，並控制績效，以便在需要糾正行動時促進決策過程。使用傳統的賺取價值管理（Earned Value Management, EVM）和新穎的賺取排程（Earned Schedule, ES）方法。



 

您將學到什麼



  • 實施數據驅動的專案管理方法（也稱為「動態排程」），使專案經理能夠計劃、監控和控制專案，同時按時並在預算內交付專案

  • 研究不同的專案管理工具和技術，如PERT/CPM、排程風險分析（SRA）、資源緩衝和賺取價值管理（EVM）

  • 理解動態排程的三個方面：基準排程、排程風險分析和專案控制

本書適合誰閱讀

 

希望通過小說學習數據驅動專案管理（或「動態排程」）的專案經理，展示專案經理如何解決常見專案障礙的即時模擬。

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