IBM Decision Optimization vs. 1000minds

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints.

1000minds Decision Making is an online suite of tools and processes to help individuals and groups with decision-making, prioritization, value-for-money analysis and understanding stakeholder preferences. Based on the PAPRIKA algorithm, 1000minds is for Multi-Criteria Decision-Making (MCDM) and Conjoint Analysis (or Choice Modeling). Our Conjoint Surveys enable you to run Conjoint Analysis (Choice Modelling or Discrete Choice Experiments) with as many participants as you like - potentially 1000s! Discover what matters to people when making choices involving trade-offs.