Nuclear power plant construction is growing. Learn how probabilistic risk analysis can lead to better cost and schedule estimation for these complex projects.
Resources
Nuclear power plant construction is growing. Learn how probabilistic risk analysis can lead to better cost and schedule estimation for these complex projects.
Discover why NVivo outperforms general AI tools like ChatGPT for qualitative data analysis. Learn how academic researchers benefit from NVivo’s specialized features and integrated AI.
 Learn how to move from project-level risk tracking to portfolio risk management and build a scalable, connected risk framework.
Explore how XLSTAT’s PCA, clustering & sorting turn prototype evaluations into insights—boosting decisions & reducing risk. With Iván Méndez of MBSense.
Discover the steps that product developers can use to turn overwhelming prototype data into clear, actionable insights with XLSTAT’s sensory analysis tools.
Australia’s new Defence Delivery Agency is overhauling defence procurement, affecting how businesses manage delivery risk to meet new government expectations.
Accurate risk modeling starts with one of the most overlooked steps: selecting the right probability distribution. Join Rafael Hartke, CEO of Imagine Risks and Analytics, for this session exploring how to identify and apply realistic distributions that best represent uncertainty across different projects and datasets.
Discover how researchers used thematic analysis with NVivo to analyze the nexus of flood risk management, resilience, and green infrastructure—and uncover insights that advance urban flood resilience.
Looking to elevate your research writing, strengthen your voice, and build confidence in your scholarship? Discover how leveraging AI can help you refine your scholarly voice and reach your research writing goals in this webinar. Join Dr. Jessica Parker and Fiona Wiltshier, MA MSc, for a session focused on leveraging AI across three scholarly writing […]
Curious about the building blocks of better risk modeling? See how Predict! and @RISK make centralized monitoring and analysis possible.
Discover how conjoint analysis in XLSTAT can help identify the cupcake recipe consumers love most—by quantifying which flavors, frostings, and features truly drive preference.
