Description: Iterating the CRoss Industry Standard Process for Data Mining (CRISP-DM) framework
![CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model that serves as the base for a data science process. It has six sequential phases: Business understanding – What does the business need? Data understanding – What data do we have / need? Is it clean? Data preparation – How do we organize the data for modeling? Modeling – What modeling techniques should we apply? Evaluation – Which model best meets the business objectives? Deployment – How do stakeholders access the results?]()
Review
Continue your case study evaluation from the midterm exam and incorporate any feedback from your instructor.
Using your previously chosen industry(s), create an APA formatted white paper by following these steps:
Step 1. Revise your initial business understanding, data understanding, and model, as appropriate, based on what you have learned since the midterm (
0 to 2-pages minimum)
Step 2. [
EVALUATION AND DEPLOYMENT] Articulate a strategy for deployment throughout the organization. (
2-page minimum)
Step 3. [
VALUE STATEMENT] Articulate what your proposed return on investment is postured to accomplish in your chosen industry. (
1-page minimum)
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Ravi12
FinalExamInstructions-AliceFDS.docx
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