A critical part of achieving decision advantage is ensuring the people working through SCRM problems within the U.S. government have the capabilities needed to navigate the supply chain data environment.
Govini’s Certification Program consists of five courses: Introduction & Fundamentals, Companies, Capabilities, and Capital. It is designed for SCRM professionals from all levels and experience backgrounds interested in data-driven techniques and workflow efficiencies to better evaluate supply chain risk.
Understand the impacts and trends stemming from a wide range of federal statutory requirements, regulations, and other guidance related to SCRM. Identify courses of action for mitigation as well as long-term stability and resiliency.
Evaluate supply chain risk through companies, capabilities, and capital lenses that together provide a comprehensive view. Assess health using data representing Market Fragility, Affiliations, Stagnation, Financial Health, and other factors.
Use data-at-scale to produce relevant and actionable analytic output using course knowledge. Analytics lessons are designed to be accessible and applicable to critical SCRM workflows and roles.
The way the courses were formatted helped me think of new ways to approach risk identification in my portfolio. Understanding SCRM in a more holistic view instead of just a single one-off companies and using structures such as the Risk Taxonomy gave me the tools to be more proactive in my risk assessments.”
—SCRM ANALYST
The Govini Certification Program for Supply Chain Risk Management is a four-day intensive professional development program that will develop a wide range of knowledge, specialized skills, and analytic techniques for conducting SCRM in the national security context.
Instructed by experienced analysts and subject matter experts, participants will benefit from decades of experience in topics such as data science, the defense industrial base, supply chain analysis, national security, and federal acquisition & procurement.
This program will have both remote and in-person engagement opportunities
If applying Decision Science to supply chain risk management is a priority for you or your team, fill out this form and we will share more information with you regarding registration and participation.
