Learn More: Center for Risk Modeling and Simulation (CRMS)
Mission led. Model driven. Results oriented.
Federal agencies face a wide array of strategic, programmatic risks that can impact their mission and objectives. Increasingly complex operating environments, the proliferation of laws and regulations with risk and accountability requirements, and budget cutbacks contribute to an ever-changing environment that forces organizations to assume more risk in fulfilling their mission and goals. This increased risk exposure puts pressure on agency leaders to better understand and control these risks in order to make smarter choices.
Risk modeling and simulation help agencies to improve their decision making by taking calculated risks and measuring the effectiveness of their decisions. Federal leaders require the necessary tools and techniques to manage the risks associated with their key decisions in a pro-active, responsible, and economical manner.
Deloitte established the Center for Risk Modeling and Simulation to provide these precise tools and techniques.
Risk modeling and simulation play a distinct role in the spectrum of risk analysis methods, and offer a specific approach to addressing decision “blind spots” and challenges. The primary application of risk modeling and simulation tools is to provide decision support services in situations where little to no historical data are available, or the risk environment changes so rapidly that historical data are rendered of limited use. In these types of situations, agencies chartered with mission-critical federal programs require specialized solutions stemming from both private sector business and academia.
Among the different types of risk modeling methods shown below, modeling and simulation bridges the gap between detailed, quantitative risk analysis and high-level, qualitative risk analysis. The typical methods used in modeling and simulation differ from quantitative and qualitative analyses, and include dynamic system modeling and ”event based” pattern scenario analysis.
Risk modeling and simulation help federal agencies to understand their risk, thereby providing critical insight into key decisions. These methods allow certain types of risks to be analyzed and accepted, and the consequences of decisions to be measured.
CRMS focuses and develops solutions in all three categories to help equip leaders with the information and tools necessary to formulate risk-based decisions using rigorous modeling and simulation techniques, evaluate various possible outcomes from these decisions, and make the necessary preparations to act upon these decisions. Risk modeling and simulation help agencies to optimize their decision making by understanding the risk environment, defining the root causes of the risks, taking appropriate calculated risks, and measuring the effectiveness of their risk based decisions.
Headquartered in Rosslyn, VA, the CRMS is aligned with Deloitte Data Analytics, Deloitte’s Center for Federal Innovation, and other federal and national strategic initiatives. Deloitte has extensive experience and deep knowledge to support agency efforts to identify and minimize risks, and assist federal agencies and organizations in meeting their mission and operational goals through modeling and simulating their risk environment. Leaders needing risk-based decision support now have access to a new suite of comprehensive tools, techniques, and advisory services in Deloitte’s CRMS. It is our vision to become the “provider of choice” for mission focused, high-impact and multi-component risk modeling and simulation programs for the Federal Government.
As used in this document, “Deloitte” means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.