GM Case Study: Used location analytics for insurance underwriting, risk assessment, and modeling exposure to natural disasters. Which option best matches this case study?

• A. Travelers Insurance Case Study
• B. CSR
• C. ESG
• D. General Motors (GM) Case Study

Answer: (D)

This item tests how location analytics are used to quantify and manage risk from natural hazards within a corporate setting, especially for underwriting and risk assessment. In the GM case, General Motors applies geospatial data—where plants, facilities, and assets are located—together with hazard and exposure information to estimate potential losses from natural disasters. This lets GM inform insurance underwriting decisions, assess overall risk exposure, and model potential impacts under different disaster scenarios. The approach demonstrates linking geographic location to risk levels to price, provision for, and mitigate hazards across operations and the supply chain.

That’s why the GM Case Study is the best match: it describes a manufacturer actively using location analytics to underwrite risk and model disaster exposure, which is precisely the scenario in question. The other options don’t fit as closely: a Travelers Insurance Case Study would focus on an insurer’s perspective, while CSR and ESG refer to broader sustainability frameworks rather than a specific case study about applying geospatial underwriting and risk modeling.