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

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

ISBN 9780134189949
Edition 1
Publication Date
Purchase Type Buy New
Publisher Pearson Professional
Author(s)
Overview
>Project Management Analytics reveals what these tools can do, why they’re so valuable, and how any project manager can start using them. The first guide of its kind, it shows how analytics bridges the gap between raw data and effective decision-making in even the most challenging 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. He illuminates opportunities to apply or improve your use of statistical probability distributions, decision trees, EVM, dashboards, scorecards, KPIs, PERT/CPM, regression analysis, NPV, cost-benefit analysis, SWOT analysis, and more. By the time you’re done, you’ll have all the tools you need to gain the best possible knowledge – and make the best possible decisions.

Overview
>Project Management Analytics reveals what these tools can do, why they’re so valuable, and how any project manager can start using them. The first guide of its kind, it shows how analytics bridges the gap between raw data and effective decision-making in even the most challenging 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. He illuminates opportunities to apply or improve your use of statistical probability distributions, decision trees, EVM, dashboards, scorecards, KPIs, PERT/CPM, regression analysis, NPV, cost-benefit analysis, SWOT analysis, and more. By the time you’re done, you’ll have all the tools you need to gain the best possible knowledge – and make the best possible decisions.

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