The Data-Driven Project Manager: A Statistical Battle Against Project Obstacles

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)

這本書是一本以商業小說形式寫成的，旨在為專案經理提供解決常見障礙的解決方案。這本書非常互動，讓讀者能夠在專案的每個階段參與並考慮不同的選擇。該書基於作者多年的經驗，包括他在研究專案和在商學院的教學講座中所積累的經驗。

這本書講述了艾米莉·里德（Emily Reed）和她的同事負責管理一個新的網球場項目的故事。該公司的首席執行官雅各布·米切爾（Jacob Mitchell）計劃將一種新的數據驅動的專案管理方法作為決策支持工具應用於所有即將開展的專案。他向艾米莉和她的團隊提出挑戰，要求他們開始探索專案數據，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”或“集成專案管理和控制”。它是一種專案管理方法論，用於計劃、監控和控制正在進行中的專案，以便按時且在預算內交付給客戶。它的主要重點在於以下三個關鍵方面的整合：




  • 基準排程：計劃專案活動，創建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。了解預期完成工作的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以及其對專案時間和預算的影響。使用蒙特卡羅模擬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，並採取行動將專案納入正軌。監控專案進展與預期進展的偏差，並控制績效，以便在需要採取糾正措施將專案納入正軌時促進決策過程。同時使用傳統的盈餘值管理（EVM）和新穎的盈餘進度（ES）方法。


你將學到什麼



  • 實施數據驅動的專案管理方法（也稱為“動態排程”），使專案經理能夠在按時且在預算內交付專案的同時進行計劃、監控和控制

  • 學習不同的專案管理工具和技術，如PERT/CPM、排程風險分析（SRA）、資源緩衝和盈餘值管理（EVM）

  • 了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

適合閱讀對象

尋求通過一本小說來學習數據驅動的專案管理（或“動態排程”）的專案經理，該小說展示了專案經理如何實時模擬解決常見專案障礙的過程。

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