Visually displays the elements of a decision, including: assumptions, conclusions, data, and qualitative information
Helps decision makers to make sense of complexity including large amounts of data, conflicting opinions, feedback loops and other dynamics that happen over time.
Provides a navigational infrastructure: Through aligned, shared, visual models, decision makers and stakeholders alike will be on the same page, and can therefore adjust rapidly to changing circumstances.
Focuses decision makers on the elements of a decision that matter: key assumptions, influential choices, important outcomes.
Aligns decision makers: "Invisible", unshared decision models in separate decision makers heads are made visible.
Represents human judgement along with hard data.
Integrates with your existing business intelligence or other data sources.
Allows users to compare multiple what-if scenarios in a single model. Both data and model structure can be varied.
Different scenarios can be saved to aid in rapid plan adjustment in a changing environment
Supports an iterative decision model development process, whereby model elements are added gradually, and a decision outcome can be determined even when some data is missing
Processes both qualitative and quantitative data
Able to import and export data from and to Microsoft Excel
Displays risk and uncertainty visually
Performs basic statistical analysis
Uses Quantellia Data Harvesting technology to identify which data, if available, would have the biggest model impact at the lowest cost
Represents intangibles, such as opportunity costs
Tools for approximating missing data (e.g. sketch graphs to represent unknown relationships, formulas, etc.)
Click here to see World Modeler in action for an infectious disease problem in Africa:
