| |
|
|
- 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
|
|
|
