Palisade Asia-Pacific

Pillar

Data & AI

Products & services

• @RISK A powerful risk analysis tool that integrates with Excel to help users quantify risk in their projects. It enables better decision-making by providing insights into potential risks and their impacts. Competitors include RiskWatch and Crystal Ball. • PrecisionTree A decision analysis software that allows users to create decision trees for complex decision-making scenarios. It helps visualize choices and outcomes, leading to more informed and strategic decisions. Competitors include TreeAge Pro and DecisionTools Suite. • StatTools A statistical analysis tool that enhances Excel with advanced statistical capabilities. It simplifies data analysis, enabling users to derive actionable insights from their data. Competitors include Minitab and JMP. • TopRank A software for optimizing decision-making in resource allocation and project management. It provides a structured approach to prioritize projects based on various criteria, improving resource efficiency. Competitors include CBA and ProModel. • Evolver A genetic algorithm-based optimization tool that helps solve complex problems through evolutionary strategies. It allows users to find optimal solutions in scenarios with numerous variables and constraints. Competitors include Lingo and OptQuest. • Palisade DecisionTools Suite A comprehensive suite of risk and decision analysis tools designed for Excel users. It offers a complete solution for risk management, enhancing the analytical capabilities of users. Competitors include @RISK and Crystal Ball. • RiskOptimizer A tool that combines risk analysis with optimization to find the best solutions under uncertainty. It helps users make optimal decisions while considering the inherent risks in their models. Competitors include OptQuest and Lingo. • NeuralTools A predictive analytics tool that uses neural networks to forecast outcomes based on historical data. It empowers users to make data-driven predictions, enhancing strategic planning and decision-making. Competitors include IBM SPSS and SAS.