Write a four- to five-page paper in which you:
- Evaluate the importance of unstructured data in the churn analysis.
- List other structured and unstructured data other than the memo and Web blogs that you need to use in your churn analysis.
- Propose a series of steps for deriving a predictive model using text and Web analytics. Provide at least one example of how the process can be integrated in the modeling process using structured data.
- Identify at least two technologies that you can use to construct the predictive model and highlight their pros and cons.
- Explain why “voice of the customer†carries much more insight into churn analysis and prevention.
- Suggest at least one churn prevention method that you can use to reduce your churn rate based on your model.
- Use at least three quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
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