Overcoming Data Overload with Diagnostic Insight
The challenge: Executives face a deluge of information, with an ever-growing list of risks and suppliers, especially when analytics highlight second- and third-tier suppliers. Navigating this complexity requires clarity and focus.
Consider this case study: An automaker with more than 18,000 suppliers has partnered with Aon to identify a small but critical supplier of a chemical used in the paint shop. If this supplier had gone bankrupt, the entire production process would have been interrupted, with no redundancy or contingency plan.
The strategy: Find a partner with supply chain risk analytics capabilities that combine advanced proprietary analytics, diagnostic tools and deep industry expertise to obtain actionable intelligence and risk prediction, including intangible and emerging risks (e.g. reputation, partner creditworthiness, regulatory changes).
“The challenge is to move beyond analysis paralysis, focus on the biggest risks, and turn knowledge into meaningful action,” says Waterer. “Resilience is not achieved by identifying all risks, but by acting decisively on what matters most. »