Project Management Analytics
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Project Management Analytics
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Author : Harjit Singh
language : en
Publisher:
Release Date : 2016
Project Management Analytics written by Harjit Singh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Data mining categories.
Project Management Essentials
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Author : Adedeji B. Badiru
language : en
Publisher: CRC Press
Release Date : 2021-03-01
Project Management Essentials written by Adedeji B. Badiru and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-01 with Technology & Engineering categories.
This Focus book presents the basic principles and practice of project management and simple analytics for project control, using the systems framework of Design, Evaluation, Justification, and Integration (DEJI). The overriding theme of the book is that every pursuit can be organized as a project. This short form book presents the evolution of products in the classical era of introducing new projects needing project management. It discusses the development of project alliances, includes the role of project management in advancing organization goals, illustrates the early applications of project management, and includes humans in the loop. The book will also cover project systems and work design, while showing the integration of quantitative and qualitative analytics. This book can serve as a reference for everyone, since everyone is engaged in project management, whether formal or informal
Data Analytics In Project Management
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Author : Seweryn Spalek
language : en
Publisher: Taylor & Francis Group/CRC Press
Release Date : 2019-01-01
Data Analytics In Project Management written by Seweryn Spalek and has been published by Taylor & Francis Group/CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-01 with Business & Economics categories.
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.
Handbook Of Research On Expanding Business Opportunities With Information Systems And Analytics
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Author : Jamil, George Leal
language : en
Publisher: IGI Global
Release Date : 2018-07-20
Handbook Of Research On Expanding Business Opportunities With Information Systems And Analytics written by Jamil, George Leal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Business & Economics categories.
Recent advancements in data collection will affect all aspects of businesses, improving and bringing complexity to management and demanding integration of all resources, principles, and processes. The interpretation of these new technologies is essential to the advancement of management and business. The Handbook of Research on Expanding Business Opportunities With Information Systems and Analytics is a vital scholarly publication that examines technological advancements in data collection that will influence major change in many aspects of business through a multidisciplinary approach. Featuring coverage on a variety of topics such as market intelligence, knowledge management, and brand management, this book explores new complexities to management and other aspects of business. This publication is designed for entrepreneurs, business managers and executives, researchers, business professionals, data analysts, academicians, and graduate-level students seeking relevant research on data collection advancements.
The Data Driven Project Manager
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Author : Mario Vanhoucke
language : en
Publisher: Apress
Release Date : 2018-03-27
The Data Driven Project Manager written by Mario Vanhoucke and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-27 with Business & Economics categories.
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 ontrack. 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
Mechanics Of Project Management
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Author : Adedeji B. Badiru
language : en
Publisher: CRC Press
Release Date : 2018-10-25
Mechanics Of Project Management written by Adedeji B. Badiru and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-25 with Technology & Engineering categories.
Every organizational endeavor is based on project management. Projects range from simple to complex, with a definite beginning and a definite end. In manufacturing, as an example, the production of each unit of a product is defined as a project. The lifecycle goes from raw material to the product delivery stage, with steps in between managed as a rigorous project. This book covers the mechanics of project management and offers the requirements for executing a project using a systems-engineering framework and the project management body of knowledge, as advocated by the Project Management Institute. It includes the nuts and bolts for untangling the knots that often exist in project execution. Features Offers a unique guide to management projects, both big and small, in all spheres of human endeavor Presents the nuts and bolts of untangling the typical knots in project execution in a step-by-step format Applies to all types of projects, including technical, manufacturing, financial, science, engineering, and personal projects Provides a structured guide to the application of project management techniques Uses the Project Management Body of Knowledge (PMBOK) framework from the Project Management Institute (PMI) as the platform for the topics covered, coupled with a systems view Addresses technical and managerial aspects of projects in every industry
Project Management Analytics
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Author : Harjit Singh
language : en
Publisher: FT Press
Release Date : 2015-11-12
Project Management Analytics written by Harjit Singh and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-12 with Business & Economics categories.
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
Data Analytics Initiatives
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Author : Ondřej Bothe
language : en
Publisher: CRC Press
Release Date : 2022-04-20
Data Analytics Initiatives written by Ondřej Bothe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-20 with Business & Economics categories.
The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex? Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.
Data Analytics For Engineering And Construction Project Risk Management
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Author : Ivan Damnjanovic
language : en
Publisher:
Release Date : 2020-07-31
Data Analytics For Engineering And Construction Project Risk Management written by Ivan Damnjanovic and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Engineering categories.
This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts' judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution.
The Pmi Guide To Business Analysis
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Author :
language : en
Publisher: Project Management Institute
Release Date : 2017-12-22
The Pmi Guide To Business Analysis written by and has been published by Project Management Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Study Aids categories.
The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge.