Data-Savvy PM: Data Analytics for Project Management

This book empowers project managers to harness the power of analytics—from foundational principles to advanced insights—without needing to be a data scientist.
This comprehensive and accessible book demystifies the world of data analytics for project managers, offering a step-by-step approach to collecting, validating, analyzing, and visualizing project data. From understanding the fundamentals of data quality to exploring advanced techniques for risk analysis, time-series insights, and stakeholder reporting, this book equips you with the tools to make informed, proactive decisions that drive results.
Whether you're managing software development, infrastructure upgrades, or organizational change initiatives, you'll learn:


How to gather high-quality data from diverse sources, including project management tools, financial systems, and communication platforms.


Proven methods for ensuring accuracy, completeness, and consistency of your project data.


Techniques for uncovering hidden patterns, trends, and risks through data exploration and visualization.


How to turn raw data into compelling stories that inspire action and confidence among stakeholders.


Packed with real-world examples, practical tips, and optional hands-on exercises,
Data Analytics for Project Management / Managers
is designed for project professionals at all levels—no programming expertise required.
Transform your project management practice from reactive to strategic. Harness the power of data analytics to lead with clarity, confidence, and impact.
Book Outline : 
Part I: Foundation – Setting the Stage for Data-Driven Projects
Chapter 1: Data Collection – Capturing the Pulse of Your Project
Chapter 2: Data Quality – The Integrity of Information
Chapter 3: Exploring Data – Reading Between the Rows
Chapter 4: Data Visualization – Telling Stories That Stick
Part II: Analysis – Turning Insight into Foresight
Chapter 5: Basic Analytics – Making Metrics Meaningful
Chapter 6: Predictive Modelling – Seeing What's Next
Chapter 7: Advanced Data Exploration – Patterns and Pitfalls
Chapter 8: Risk Analytics – Quantifying Uncertainty
Chapter 9: Data Ethics – Responsible Project Analytics
Part III: Application – Data in Action
Chapter 10: Big Data in Projects – Making the Complex Work
Chapter 11: Organizing Data – From Chaos to Clarity
Chapter 12: Data-Driven Decision-Making – From Insight to Action
Chapter 13: Metrics That Matter – Measuring What Moves the Needle
Chapter 14: Advanced Dashboards – Designing for Impact
Chapter 15: Business Intelligence (BI) – Tools of the Trade
Chapter 16: Working with Data Scientists – Bridging Two Worlds
Chapter 17: Final Reflections – Becoming a Data-Literate PM
Chapter 18: Capstone project with Sample solution
✅ Includes optional
Advanced Track and Chapter Illustrations - Worked Examples
✅
Eligible for CPD/PDU's (Continuing Professional Development / Professional Development Unit), Self-Attesting CPD Certificate included.