iModelTM
        
High Performance Data Modeling
 
 

Product Data Sheet (pdf)

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Three Power Levels
   = Personal
   = Professional
   = Enterprise
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Applications
    = Demand Forecasting
    = Financial Market Timing
    = Click-Stream Analysis
    = Server Performance
    = Data Mining / Discovery
    = Process Diagnosis
    = Drug Response
    = Purchase Likelihoods
    = Clustering Behaviors
    = Medical  Diagnostics
    = Mfg Process Conditions
    = Predictive Product Quality
    = Pipeline Loading
    = much, much more.

High Performance Models
BioComp
iModel is a top performing data modeling tool. With its automated model optimization capabilities, iModel provides highly accurate predictive models for a wide variety of applications and is a foundation for business improvement.  iModel is for people who want results, not tinkering with technology.

New Modeling Technology
BioComp
iModel delivers new "Mesh" data modeling technology, a full generation beyond our highly successful neural networks. Meshes enable new capabilities and break down old neural network barriers, acquiring knowledge from your data with accuracy, effectiveness and simplicity.
More about Meshes...

iModel

     
Model Performance is What Counts
iModel uses sophisticated optimization processes to discover and create high performance models. The optimization process searches through alternative model types, structures and combinations of input variables to maximize the performance of your models.  Performance metrics include both "normal" and custom metrics.
Open Access to Diverse Data
iModel works with delimited text files, Microsoft Excel workbooks, Microsoft Access databases. iModel Professional and Enterprise Editions support access to Oracle, SQL Server and other relational databases, process data management systems, such as OSI PI Data Historian and other data sources.
     
How is Your Data Structured Inside?  Cluster it !
Cluster your customers, events, actions, etc based on their attributes.  Discover the internal structure within your data. Data Clustering "Heat Map"
  A Foundation for Understanding and Improvement
As the foundation of BioComp’s modeling technology, iModel establishes a base for greater understanding and improvement.  iModel is the cornerstone of a suite of off-line analysis tools and our on-line Intellect systems.  Build models in iModel, understand what they mean in the new iUnderstand, enhance your performance with iImprove (coming soon) and take it all on-line with Intellect.

Your investment in iModel is preserved and enhanced.

     
Scalable Performance: Multiprocessing !
Individuals, professionals and even teams can use iModel’s scalable architecture, ranging from running on a single PC to driving a full data center of distributed multi-processing servers.  No longer are you bound by a "PC" tool, but opportunities open for large scale commercial distributed processing. Distributed Multiprocessing Capable!
  Integrated Data Management
iModel enables you to connect directly over to iManageData, our desktop tool to filter, clean, and manage missing data easily. These data pre-processing features can be saved as "data handling templates" for reuse in the future.
     
Available in Packaged Solutions
We offer tested systems, including client workstations and modeling servers.  We work with your Information Technology organization to comply with your company's stringent information systems hardware standards.

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Available in 2, 4 or 8-way multiprocessing servers for large scale applications.

  Broad Applications
iModel is appropriate for hundreds of applications within your organization. From aeronautics to process improvement, from sales and demand forecasting to medical diagnosis, iModel’s self-optimization finds the right fit for your application.
  • Your Customers' Willingness to Buy
  • Your Product Quality
  • Web Click-Streams
  • Industrial Processes
  • Marketing Data
  • Disease Diagnosis
  • The Performance of Your E-Commerce Portals
  • Your Financials
  • Sales Forecasting and Analysis
     

Note:  Operates on Windows '98, Windows NT 4.0, ME, 2000 or XP

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Last modified: Thursday July 19, 2007.
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