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About Analytica

Analytica is a decision analysis software from Lumina Decision Systems that supports modeling and analysis for complex decisions. It provides intuitive visual modeling, Monte Carlo simulation, and sensitivity analysis so users can evaluate various scenarios and outcomes effectively. The software is designed to handle uncertainty and support decision-making by allowing users to create and manipulate models graphically. Key capabilities: graphical decision trees probabilistic modeling multi-attribute decision analysis risk analysis reporting tools Best for: analysts and decision-makers that need to evaluate complex decisions and manage uncertainty in their analyses.

Analytica Details

Vendor
Lumina Decision Systems
Year Launched
1991
Location
1350 Dell Ave. Suite 107 Campbell, CA 95008-6619 USA
Deployment
cloud, on premise, windows
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English
Users
Business analysts, decision-makers, consultants, and researchers in industries like energy, finance, and academia.
Industries Served
Business analysts, Energy (e.g., oil, gas utilities), Academia, Government, Pharmaceuticals, Financial services, Manufacturing
Tags
Decision Support, Analytica

Analytica's In-App Market Place

Does Analytica have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (CHF), Cny (¥)

Pros & Cons

  • Powerful Analytics: Supports Monte Carlo simulations and uncertainty analysis.
  • Clear Visual Modeling: Easy-to-understand influence diagrams.
  • Efficient Model Building: Faster model development than spreadsheets.
  • Flexible Arrays: Extends model dimensions with minimal recoding.
  • Decision Support: Helps in presenting complex information clearly.
  • Limited Graphics: Basic graphics, requiring external tools for better visuals.
  • Low Popularity: Limits portability and integration.
  • High Resource Demand: Complex models may require significant memory and processing.
  • Learning Curve: Can be unintuitive for new users.
  • Limited Modeling Types: Not suitable for agent-based or discrete-event simulation.

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