Who Uses This Software?

Organizations that have a need for accurate, reliable forecasts and forecasting processes automation.


Average Ratings

1 Review
  • 4 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 5 / 5
    Customer Service

Product Details

  • Starting Price
    $1,399.00/one-time/user
  • Pricing Details
    Free Academic Licensing Program
  • Free Version
    Yes
  • Deployment
    Installed - Windows
  • Support
    Online
    Business Hours

Vendor Details

  • GMDH
  • www.gmdhshell.com
  • Founded 2009

About This Software

GMDH Shell is the easiest way to accurately forecast time series, create classifiers and regression models. Based on artificial neural networks, it allows you easily create predictive models, as well as preprocess data with dead simple point-and-click interface. Unlike other NN-based tools, it's very fast because of state-of-the-art parallel processing and great core algorithms optimization.


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Features Checklist

  • Ad hoc Analysis
  • Ad hoc Query
  • Ad Hoc Reports
  • Benchmarking
  • Budgeting & Forecasting
  • Dashboard
  • Data Analysis
  • Data Visualization
  • Key Performance Indicators
  • OLAP
  • Performance Metrics
  • Predictive Analytics
  • Profitability Analysis
  • Strategic Planning
  • Trend / Problem Indicators

Product Reviews

Great software for rapid analysis and predictive prototyping

Jan 31, 2016
4/5
Overall
4 / 5
Ease of Use
5 / 5
Customer Support

Comments: GMDH Shell (GS) can take a raw somewhat messy data set in CSV and provide a predictive model more more quickly than just about anything and at a reasonable cost. The provided templates are a great start. There are quite a few options to adjust later to improve your models. And you can customize the templates to your preferences.

It is great how GS searches for the best model with the best algorithm for your problem. This is a feature normally reserved for the premium software tools.

You should have an understanding of inputs, targets, transformations, regression, forecasting, and classification modeling to get started. The available transformations are very useful especially the time series Lag. You will want to follow the documentation and tutorials to get the most out of it.

I recommend enabling the Experimenter's Layout and the Processing Results for Importance of Variables and Residuals in every default template.

With practice using GS is beneficial and fun.