PROJECT MANAGEMENT ANALYTICS FOR BEGINNERS: A Practical Guide to Data-Driven Project Planning, Scheduling, Cost Control, Risk Management, Forecasting, AI, and Project Performance - Softcover

Inhaltsangabe

Turn project data into better decisions—and better project outcomes.

Modern projects generate enormous amounts of data across schedules, budgets, resources, risks, milestones, changes, and team performance. But having data is not the same as knowing what to do with it.

Project Management Analytics for Beginners is a practical, easy-to-follow guide to using analytics to plan projects more effectively, identify problems earlier, control costs, manage risks, optimize resources, and improve delivery performance.

Written for project managers, PMO professionals, business analysts, consultants, students, and aspiring project leaders, this book explains analytics without requiring a background in statistics or data science.

Inside, you'll learn how to:

• Measure project performance using meaningful KPIs and metrics
• Analyze schedule delays, milestones, dependencies, and bottlenecks
• Use Earned Value Management (EVM) to understand cost and schedule performance
• Track SPI, CPI, cost variance, schedule variance, and project forecasts
• Analyze budgets, burn rates, resource utilization, and productivity
• Use Agile metrics including velocity, cycle time, throughput, and burndown
• Quantify and analyze project risks
• Identify scope creep, rework, quality problems, and change patterns
• Build effective project and PMO dashboards
• Apply predictive analytics to anticipate delays and cost overruns
• Understand how AI and Generative AI are changing project management
• Use AI prompts to support planning, reporting, risk analysis, and decision-making
• Turn project reporting into actionable project intelligence

With practical explanations, worked examples, case studies, formulas, dashboards, and AI applications, Project Management Analytics for Beginners bridges the gap between traditional project management and modern data-driven decision-making.

Whether you manage a single project or an entire portfolio, this book will help you move beyond simply asking “What happened?” toward answering the more valuable questions:

Why did it happen? What is likely to happen next? And what should we do about it?

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