Webinar Alert - CRED Model: Your Guide to Reliable Cost Risk Management

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On-Demand Webinar 45 minutes

Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty

Join our upcoming webinar to explore the Cost Risk/Uncertainty Exposure Determination (CRED) Model. This session will focus on identifying and addressing uncertainties in cost estimation, providing you with tools and strategies to enhance the accuracy of your project estimates and reduce risks associated with unknown factors.

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Key Insights:

  • Quantify and Manage Risk: Learn how the CRED Model helps you quantify the knowledge gaps in your project’s cost estimation process and effectively manage risk and uncertainty. 
  • Improve Estimate Accuracy: Discover practical strategies to reduce exposure to unknown factors, resulting in more reliable and accurate cost estimates. 
  • Adaptable to Any Industry: Whether you work in aerospace, defense, software development, or civil engineering, the CRED Model is flexible and can be tailored to meet the unique demands of your projects. 
  • Real-World Case Examples: Gain insights from real-world applications of the CRED Model, including how it has been successfully used to address risks in large, complex projects. 

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Brad Clark, PhD
Senior Cost Analyst

Brad Clark is a Senior Cost Analyst at Galorath Federal Inc., specializing in software data collection, analysis, and parametric modeling. With a Ph.D. in Computer Science from the University of Southern California, earned in 1997, Dr. Clark has dedicated his career to advancing the field of software cost estimation. He is a co-author of two books: “Software Cost Estimation with COCOMO II,” written with Barry Boehm and others, and “Software Cost Estimation Metrics Manual for Defense Systems,” co-authored with Dr. Ray Madachy (Mad-a-key). Dr. Clark’s leadership extends to serving as the president of the Boehm Center for Systems and Software Engineering, where he continues to contribute to fostering collaboration and innovation within the industry.