Solution Manual for Project Management Analytics A Data Driven Approach to Making Rational and Effective Project Decisions 1st Edition Singh

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Solution Manual for Project Management Analytics A Data Driven Approach to Making Rational and Effective Project Decisions 1st Edition Singh
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.

Table of Content:

Part 1: Approach
Chapter 1: Project Management Analytics
Chapter 2: Data-Driven Decision-Making
Part 2: Project Management Fundamentals
Chapter 3: Project Management Framework
Part 3: Introduction to Analytics Concepts, Tools, and Techniques
Chapter 4: Chapter Statistical Fundamentals I: Basics and Probability Distributions
Chapter 5: Statistical Fundamentals II: Hypothesis, Correlation, and Linear Regression
Chapter 6: Analytic Hierarchy Process
Chapter 7: Lean Six Sigma
Part 4: Applications of Analytics Concepts, Tools, and Techniques in Project Management Decision-Making
Chapter 8: Statistical Applications in Project Management
Chapter 9: Project Decision-Making with the Analytic Hierarchy Process (AHP)
Chapter 10: Lean Six Sigma Applications in Project Management

Product Details:

Language: English
ISBN-10: 0134189949
ISBN-13: 978-0134189949
ISBN-13: 9780134189949

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