Managers constantly make decisions that affect key performance metrics: market share, service levels, production rates, profitability, containment. Often, however, situations are complicated, making it difficult to predict how an action will impact operations on a macro level.

Data mining and simulation models identify patterns and uncover relationships. But traditional methods cannot manage the complexities and uncertainties posed by many real-world problems. The number of possible scenarios makes enumerating to find the best one impractical. Optimization programs point to “best of” plans, but often employ simplifying assumptions and misperceptions about driving factors that can skew results. Next-generation solutions augment traditional mathematical approaches with artificial intelligence.

IntePoint Vu brings clarity to complex environments, modeling system-wide interdependencies across physical, virtual and social networks. Advanced Visualization yields a common picture which brings together different disciplines, fuses information from multiple sources, and provides intuitive control of analyses. Agent-Based Simulation encapsulates the behavior of dynamic systems. Together, these techniques capture a trace of cause and effect. This enables users to quickly understand complex scenarios and volumes of seemingly unrelated data, to make better decisions faster.

Contact us to learn more about how IntePoint employs:

• Advanced Visualization Techniques
• Agent-Based Simulations
• On-demand Services
• Predictive Modeling Analyses

A conservative estimate is that organizations are missing out on billions of dollars in potential savings annually through inefficient risk management practices.