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Data Mining Techniques

  • Data Appending

We've developed proprietary techniques to append data based on common database elements.  For consumer data, we can determine gender based on first names, and ethnicity based on last.  For business data, we also can estimate department and rank based on the customer's title.

  • Statistical Analysis

We employ various statistical techniques to analyze your data, including linear regression, logistic regression, cluster analysis, exponential smoothing, etc.  As a SAS Certified Partner, we're experts at utilizing SAS data mining.  We're also experts at using Excel for user interfaces and data presentation.

  • Decision Trees

Decision trees can help visualize data and provide simple tools to partition your data.

  • Neural Networks

Neural networks uncover hidden data patterns that normal statistical techniques might miss.  For more information, see our neural network modeling services information.

  Go to Data Mining page

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