September 2025
Advancing Value Methodology Through Data Analytics Implementation
Value Methodology (VM) has long served as a structured methodology for generating and evaluating innovative solutions. However, the challenge remains in effectively managing large volumes of creative ideas and identifying those with the greatest potential to enhance value. This presentation introduces a data analytics framework designed to strengthen the VM by systematically grouping, analyzing, and prioritizing ideas. By applying advanced analytical techniques, the framework transforms raw creativity into actionable insights, enabling decision-makers to select the most impactful options with confidence. The outcome is a more rigorous, transparent, and data-driven approach that improves project performance, cost efficiency, and sustainability while advancing the future direction of Value Methodology.
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