Analytica was designed from the start to combine several key decision-technologies into fully integrated, easy-to-use package. They include: 

  • Visual influence diagrams to define and organize complex models into comprehensible modules.
  • Intelligent arrays™ to make it easy to manage models with multiple dimensions.
  • Monte Carlo simulation to analyze uncertainty and risk with speed and simplicity
  • Optimization, including linear and nonlinear programming.

The technology underlying Analytica is based on a decade of research by decision analysts, computer scientists, and user-interface designers at Carnegie Mellon University, with support from the National Science Foundation.

See below for more details on each technology:

Simple influence diagram

Influence Diagrams

An influence diagram is an intuitive visual display of a decision problem. It depicts the key elements, including decisions, uncertainties, and objectives as nodes of... »more

Monte Carlo Simulation

Monte Carlo simulation is a simple and efficient way to represent and analyze risk and uncertainty. It generates a random sample of values from each... »more

Decision Analytics

Analytics tools yield zero value — until they improve decisions. Decision analytics is about using insights from data to drive business decisions. It builds... »more

What’s Wrong With Spreadsheets

The spreadsheet was the first "killer app", the application which led to millions of people buying their first personal computers in the early 1980s. Spreadsheets... »more


Whether you are developing strategic plans or making day-to-day decisions, you often need to use estimates made by others.  We are all aware that... »more
roulette wheel

Probabilistic Forecast Libraries

Decision modelers and forecasters increasingly realize the advantage of probabilistic forecasts -- that explicitly represent the inevitable uncertainties in the form of probability distributions. Many... »more