Variance Analysis: An Ideal Application of AI
Variance Analysis: An Ideal Application of AI
Join us for a one-hour live webinar designed to show project managers and schedulers how to effVariance Analysis is one of the most consequential activities in project controls—yet it is also one of the most misunderstood and manually labor-intensive. In this session, we’ll show how the real path to smarter, faster, and more accurate variance analysis begins long before the first CPI or SPI is calculated.
What You'll Learn
Key takeaways from this session
Understand how structured scope and control integration (via IRDM) creates the conditions for accurate, explainable Variance Analysis. Participants will learn how proper mapping of requirements, Work Packages, control structures, and baseline elements eliminates ambiguity, strengthens traceability, and enables more reliable root-cause assessment.
Earn PDU Credits
PMI Professional Development Units
About the Presenter
Eric Christoph
Earlier in his career Eric served as Corporate EVM Subject Matter Expert for L-3 Communications. In that role he implemented multiple EIA-748 Earned Value Management Systems (EVMS) and helped build baseline plans for over 100 projects and proposal efforts with a combined value over $400B. Eric also represented L-3 on the Board of the NDIA Integrated Program Management Division (IPMD) which oversees the EIA-748 standard. Over the last fifteen years Eric has contributed to several key guidance documents related to EVM including the PMI Practice Standard for EVM, MIL-STD-881, and GAO-16-89G. Today, Eric is a Senior Partner at Transformative Management Solutions where we help project teams and organizations implement EVM and Agile project control solutions using Microsoft Power Platform technologies.
