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WorldModeler Software

FEATURES PLANNED FOR 1.0 RELEASE:

  • Decision Engineering Software Features:
    • Visually displays the elements of a decision, including: assumptions, conclusions, data, and qualitative information
    • 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.)
  • Five-Minute Model(s)TM for specific business situations: include wizards and templates

Click below for sample WorldModeler screenshot:
Small Screen Snap

DEVELOPMENT ROADMAP

When What
3Q2008 Quantellia Spreadsheet Converter: a web-based
tool that creates a model diagram from any
Excel-based spreadsheet.
3Q2008 WorldModeler prototype
1Q2009 WorldModeler Alpha Release
2Q2009 WorldModeler Beta Release
3Q2009 WorldModeler 1.0
 
Elements of Decision Engineering » Elements of Decision Engineering
Consulting » Consulting
WorldModeler Software » Software
Quantitative Planning » Quantitative Planning
Data Harvesting » Data Harvesting
Click here to walk through a comparison of using WorldModeler vs. spreadsheets.

The New Science of Decision Engineering

Read about The New Science of Decision Engineering from Telecom Asia Magazine

By bringing engineering discipline to the boardroom, telcos can leverage underutilized data sources to support decisions more rigorously and achieve better alignment during decision implementation throughout an organization.

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