Artificial Intelligence for Automated Decision Support Project
Business Intelligence/ Decision Models CRISP.
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Transcript of Business Intelligence/ Decision Models CRISP.
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Business Intelligence/Decision Models
CRISP
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Learning by associationor problem solving
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Time/Cost
Cumulated Productivity
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This Week CRISP
(Cross Industry Standard Procedure for Data Mining)
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CRISP-DM Phases
Source SPSS Inc. 2008
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SEMMA (SAS Institute)
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Source SPSS Inc. 2008
CRISP Case Study A large telecom (XYZ PHONE) has discovered that it is losing
customers at a much higher rate than in previous years.
Reporting through the corporate dashboard (OLAP)has shown churn rates growing by a large margin last year.
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Source SPSS Inc. 2008
Define Business Objectives Strategic objective definition
Increase revenues by retaining more customers Related business goal identification
Retain high value customers Identify process problems that need to be changed
Clear success factor (metric) Decrease customer churn by 1%
Cost-benefit analysis Increase revenues by $750,000
Actionable BI objectives XYZ wants to retain more customers by identifying likely
churners 2 months prior and putting an action in place to retain them
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Source SPSS Inc. 2008
Timeline Example XYZ’s project: 13 weeks
1 week business understanding• Involves line of business managers• Includes better defining high-value and churner definition
3 weeks data understanding • Involves line of business managers and data experts
5 weeks data preparation• Heavy reliance on data experts and database administrators
2 weeks modeling (1) and evaluation (1)• Models developed by data miners and results evaluated by line of business
managers 1 week deployment ?
• Heavy involvement of database administrators
Model deployment entailed setting up a data model for monthly scoring of customer base with resulting reports feeding a mail offer