It is a DATA MINING Technique. CRISP-DM stands for Cross-industry standard process for data mining

1. CRISP-DM
-- ASHISH CHANDRA JHA

2. © Nicole Leaper

3. Business Understanding
1. Determine Business Objectives
• Background
• Business Objectives
• Business Success Criteria (Log and Report Process)
2. Assess Situation
• Inventory of Resources
• Requirements
• Assumptions
• and Constraints
• Risks and Contingencies Terminology
• Costs and Benefits (Log and Report Process)

4. Continued…
3. Determine Data Mining Goals
• Data Mining Goals
• Data Mining Success Criteria (Log and Report Process)
4. Produce Project Plan
• Project Plan
• Initial Assessment of Tools and
• Techniques
• (Log and Report Process)

5. Data Understanding
1. Collect Initial DataBackground
• Business Objectives
• Business Success Criteria (Log and Report Process)
2. Describe Data
• Data Description Report(Log and Report Process)
3. Explore Data
• Data Exploration Report (Log and Report Process)
4. Verify Data Quality
• Data Quality Report (Log and Report Process)

6. Data Preparation
1. Data Set
• Data Set Description (Log and Report Process)
2. Select Data
• Rationale for Inclusion/ Exclusion (Log and Report Process)
3. Clean Data
• Data Cleaning Report (Log and Report Process)

7. Continued…
4. Construct Data
• Derived Attributes
• Generated Records (Log and Report Process)
5. Integrate Data
• Merged Data (Log and Report Process)

8. Modeling
1. Select Modeling Technique
• Modeling Technique
• Modeling Assumptions
• (Log and Report Process)
2. Generate Test Design
• Test Design (Log and Report Process)

9. Continued…
3. Build Model Parameter Settings
• Models
• Model Description
• (Log and Report Process)
4. Assess Model
• Model Assessment
• Revised Parameter
• (Log and Report Process)

10. Evaluation
1. Evaluate Results
• Align Assessment of Data Mining Results with Business Success Criteria
(Log and Report Process)
2. Approved Models
• Review Process
• Review of Process (Log and Report Process)
3. Determine Next Steps
• List of Possible Actions Decision (Log and Report Process)

11. Deployment
1. Plan Deployment
Deployment Plan (Log and Report Process)
2. Plan Monitoring and Maintenance
• Monitoring and Maintenance Plan (Log and Report Process)
3. Produce Final Report
• Final Report
• Final Presentation (Log and Report Process)
4. Review Project
Experience
Documentation (Log and Report Process)

12. Thank You