Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions - Couverture rigide

Singh, Harjit

Couverture rigide

ISBN 10 : 0134189949 ISBN 13 : 9780134189949

Editeur : Pearson FT Press, 2016

Synopsis

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

A propos du livre

À propos de l'auteur

Harjit Singh earned his MBA from University of Texas and his master’s degree in Computer Engineering from California State University, Sacramento. He is a Certified Scrum Master, Lean Six Sigma professional, and holds PMP (Project Management Professional) credentials. He has more than 25 years of experience in the private and public sector as an information technology engineer, project manager, and educator. Currently, he is working as a data processing manager III at the State of California. In addition, he is also a visiting professor/adjunct faculty at Keller Graduate School of Management, DeVry University and Brandman University, where he teaches project management, business management, and information technology courses. Prior to this, he worked at Hewlett-Packard for 15 years as a systems software engineer and technical project manager. He is also a former member of the Board of Directors for the Sacramento Valley Chapter of the Project Management Institute (PMI) where he served in the capacity of CIO and vice president of relations and marketing.

À propos de la quatrième de couverture

GET BETTER PROJECT KNOWLEDGE TO MAKE BETTER PROJECT DECISIONS!

• Use analytics to manage your projects far more effectively
• Integrate analytics with current processes such as PMBOK® or Lean Six Sigma DMAIC
• Achieve mastery through practical examples, case studies, and easy-to-customize templates

In today’s complex, chaotic project environments, project managers can’t simply rely on intuition. Powerful analytical tools and technologies can help you make more objective, evidence-grounded decisions—and achieve better outcomes. Project Management Analytics reveals what these tools can do and helps you start using them. The only guide of its kind, it will help you bridge the gap between raw data and effective decision making in even the toughest project environments.

Through real-world examples and case studies, Harjit Singh helps you gain comfort with modern analytics tools, technologies, and processes, and integrate them with approaches such as PMBOK, Lean Six Sigma DMAIC, and Deming’s PDSA.

Singh walks you through collecting data, analyzing it, and gaining stakeholder buy-in for analytics-driven approaches to PM decision-making. You’ll learn how to take advantage of statistical probability distributions, decision trees, EVM, dashboards, scorecards, KPIs, PERT/CPM, regression analysis, NPV, cost-benefit and SWOT analyses, and more.

 

Project success is built on the decisions you make.
Get better information: make better decisions!

Détails de l'édition

• Éditeur: Pearson FT Press
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 0134189949
• ISBN 13: 9780134189949
• Reliure: Relié
• Nombre de pages: 340
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible