Quantitative Analysis provides data-driven analytical services for a range of business challenges, specializing in statistical models for site selection decisions. Quantitative Analysis can assist by applying advanced statistical analysis techniques to help you get more from your data, as well as external data sources. With Quantitative Analysis, you’ll find that even a modest investment in analysis can yield great returns in increased revenues, improved profits, and better understanding of the decision at hand. For every project we take the time to fully analyze all the appropriate data, and deliver profitable decision-making tools and knowledge.
Decision Field Theory (DFT), is a computational model of decision making, that models deliberation as a diffusion process. It is a process model used to predict decision making under uncertainty.This model can be used to predict not only choice outcomes but also response times and context effects
A decision tree (or tree diagram) is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal.
Forecasting is the use of estimation in predicting unknown situations and outcomes. In business, this includes the study of historical and market data to predict both general and specific business .
Linear Programming (LP) is a technique for optimization of a linear objective function, subject to linear equality and linear inequality constraints. Informally, linear programming determines the way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model and given some list of requirements represented as linear equations.
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