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:
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 various shapes...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 input probability distribution...More »
Analytics tools yield zero value — until they improve decisions. Decision analytics is about using insights from data to drive business decisions. It builds on...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 were a brilliant...More »
SIPS and SLURPS
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 nearly every estimate is...More »
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...More »