POP2

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  • Elements:

    Prior to client engagement in the CDI

    • Meeting with client to define project objectives
    • Meeting with client to define data requirements
    • Client supplies clean, formatted data to the CDI
    • CDI loads data and ensures compatibility with tools
    • CDI performs a data quality analysis prior to client visit
    • CDI performs sample data mining runs prior to client visit
     

    During the client engagement in the CDI

    • CDI reviews with client the data quality analysis results
    • CDI, guided by client, refines data for analysis
    • CDI reviews with client the sample data mining results
    • CDI and client select sequence of data mining tools to use
    • Client is given hands-on experience with data mining tools
    • Client is guided through in-depth data mining of data
    • Client is guided though a formal tool evaluation process
    • Client returns to company with project results
    • After the client engagement in the CDI formal reports on project results are prepared for the client

     

  • Results:

     

    • More in-depth analysis of the client’s data
    • Project results better targeted towards specific objectives
    • Understanding of the knowledge discovery process
    • Hands-on experience with data mining tools
    • Formal Reports
    • Data quality analysis
    • Data mining models
    • Tool evaluation

 

  • Participants:

     

    • Companies committed to data warehousing and data mining
    • Companies with well-defined data mining questions



 
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