The Data-Driven Project Manager
Title | The Data-Driven Project Manager PDF eBook |
Author | Mario Vanhoucke |
Publisher | Apress |
Total Pages | 164 |
Release | 2018-03-27 |
Genre | Business & Economics |
ISBN | 1484234987 |
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
Project Management Analytics
Title | Project Management Analytics PDF eBook |
Author | Harjit Singh |
Publisher | FT Press |
Total Pages | 412 |
Release | 2015-11-12 |
Genre | Business & Economics |
ISBN | 0134190491 |
To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively
Leading Complex Projects
Title | Leading Complex Projects PDF eBook |
Author | Edward W. Merrow |
Publisher | John Wiley & Sons |
Total Pages | 261 |
Release | 2018-05-01 |
Genre | Business & Economics |
ISBN | 111938219X |
Quantitative analysis of outcomes vs PMs at the individual level Leading Complex Projects takes a unique approach to post-mortem analysis to provide project managers with invaluable insight. For the first time, individual PM characteristics are quantitatively linked to project outcomes through a major study investigating the role of project leadership in the success and failure of complex industrial projects; hard data on the backgrounds, education, and personality characteristics of over 100 directors of complex projects is analyzed against the backdrop of project performance to provide insight into controllable determinants of outcomes. By placing these analyses alongside their own data, PMs will gain greater insight into areas of weakness and strength, locate recurring obstacles, and identify project components in need of greater planning, oversight, or control. The role of leadership is to deliver results; in project management, this means taking responsibility for project outcomes. PMs are driven by continuous improvement, and this book provides a wealth of insight to help you achieve the next step forward. Understand why small, simple projects consistently outperform larger, more complex projects Delve into the project manager's role in generating successful outcomes Examine the data from over 100 PMs of complex industrial projects Link PM characteristics to project outcome to find areas for improvement Complex industrial projects from around the world provide a solid basis for quantitative analysis of outcomes—and the PMs who drive them. Although the majority of the data is taken from projects in the petroleum industry, the insights gleaned from analysis are widely applicable across industry lines for PMs who lead complex projects of any stripe. Leading Complex Projects provides clear, data-backed improvement guidance for anyone in a project management role.
Project Management Analytics
Title | Project Management Analytics PDF eBook |
Author | Harjit Singh |
Publisher | |
Total Pages | |
Release | 2016 |
Genre | Data mining |
ISBN | 9780134190501 |
Data-Driven Project Management
Title | Data-Driven Project Management PDF eBook |
Author | OZHAN ATALI |
Publisher | Wremia, Inc. |
Total Pages | 71 |
Release | 2020-03-31 |
Genre | Business & Economics |
ISBN | 0578670305 |
Starting from 2010 there has been incredible change in business environments with the development of cloud technology and artificial intelligence. We believe that these technologies will start affecting routine-based desk jobs intensively soon. Data-entry, operational-accounting and scheduling might be one of these areas. The idea of writing this book primarily raised from experiences which indicates that there is still enough time to waste with spreadsheets. Because each business runs for profitability and currently the cost of a large system changes cannot be afforded by majority of small and medium sized businesses. And each technology may not provide 100% automation for each task on time. You will learn the best project management practices on excel and will have free professional project management spreadsheet templates (i.e. Gantt, kanban, project planner). Finance and accounting are still seen as professions owned by a specific department of companies whereas real finance is run by operations themselves. Each team member and/or the leader or planner must be aware of the financial results of each action. Particularly, project managers must have adequate knowledge and hands-on experience on financial aspects of projects. For this purpose, the second chapter of this guide focus on financial concepts related to project management.
Data Analytics in Project Management
Title | Data Analytics in Project Management PDF eBook |
Author | Seweryn Spalek |
Publisher | Taylor & Francis Group/CRC Press |
Total Pages | 11 |
Release | 2019-01-01 |
Genre | Business & Economics |
ISBN | 1138307289 |
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.
Project Management for the Unofficial Project Manager (Updated and Revised Edition)
Title | Project Management for the Unofficial Project Manager (Updated and Revised Edition) PDF eBook |
Author | Kory Kogon |
Publisher | BenBella Books |
Total Pages | 225 |
Release | 2024-01-16 |
Genre | Business & Economics |
ISBN | 1637740506 |
No project management training? No problem! In today’s workplace, employees are routinely expected to coordinate and manage projects. Yet, chances are, you aren’t formally trained in managing projects—you’re an unofficial project manager. FranklinCovey experts Kory Kogon and Suzette Blakemore understand the importance of leadership in project completion and explain that people are crucial in the formula for success. This updated and revised edition of Project Management for the Unofficial Project Manager offers practical, real-world insights for effective project management and guides you through the essentials of the value, people, and project management process: Scope Plan Engage Track and Adapt Close If you’re struggling to ensure multiple projects are finished with high value and on time, this book is for you. If you manage projects without the benefit of a team, this book is also for you. Change the way you think about project management—"project manager" may not be your official title, but with the right strategies, you can excel in this project economy.