Product Life Cycle Risk (Analysis to Action)

Data and analytics-driven process to comprehensively assess and measure risk throughout the life of a high-value product supply chain (e.g., high margin product category, blockbuster drug, strategic investment).

The Diagnostic Contains

Comprehensive mapping and digitizing (digital twin) of supply chain activities including sub-activities, processes and resources (human capital, digital and physical assets, and third-party relationships)
Threat analysis
Vulnerability assessment of the supply chain configuration (i.e., inventory, capacity)including a risk and performance trade-off analysis
Impact quantification and prioritization
Prescriptive risk mitigation and financing activities.

Top Down

Executive-level buy-in based on profitability and customer expectations, i.e., value or what matters most to the business executive.
Access to Data

Ability to access critical, detailed, relevant supply chain data.
Speed of Data Gathering

Speed at which data is gathered using a variety of proprietary techniques, tools, and industry-specific methods.
Minimal Cost

Skill to minimize cost based on the efficiency of executing the framework leveraging the data, and using low-cost but flexible visualization tools (e.g. PowerBI).
Rapid Scale

Proficiency at executing framework and leveraging prior investment. Ability to scale quickly. Process becomes more efficient as more diagnostics are performed.