Most business modeling being carried out today relies on the use of spreadsheets and/or project management software to create project schedules, do simplified risk analysis calculations, carry out cost and revenue projections and other simple financial analyses. Although such tools are useful and applicable in many cases, they generally do not have the ability to represent the complex dynamics and uncertainties present in real world business systems. As such, the projections produced by these tools often do not provide a realistic representation of the future. This can lead to poor decisions.
By combining the flexibility of a general-purpose and highly-graphical probabilistic simulation framework with specialized features to support financial modeling, reliability analysis and optimization, GoldSim allows you to create realistic models of complex, real-world business and economic systems. Using Monte Carlo simulation, you can explicitly represent the uncertainty inherent in these systems in order to carry out risk analyses, evaluate alternative policies and strategies, and make better, more defensible decisions.
GoldSim can be used for a wide range of business modeling applications, most of which fall into the categories listed below. You can follow these links to learn more:
- Strategic Planning. Evaluate alternative strategies, policies and plans and identify those that offer the greatest potential for success.
- Risk Management and Insurance. Quantify and evaluate risks, and identify cost-effective pre-emptive measures and contingency plans that will help minimize your exposure and/or any adverse impacts.
- Cost Modeling and Project Planning. Model the costs of complex projects accounting for real-world uncertainties. Develop project plans that provide the highest likelihood of meeting your objectives on time and under budget.
- Financial Engineering. Manage financial risks by evaluating new or existing financial instruments. Determine the optimal portfolio of instruments and investments to achieve your objectives.
- Supply Chain and Business Process Modeling. Quantitatively evaluate the performance of supply chains in order to optimize your systems to provide the efficiency and flexibility you need to thrive in a competitive marketplace. Model business processes in your organization in order to find the best ways to increase efficiency and minimize defects.
- Marketing Simulation. Create quantitative and transparent models of marketing campaigns to maximize your return on investment.
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