Ch 5: Data Modeling for Marketing

About This Chapter

Quickly review data modeling as it's used in marketing with your employees using this chapter as your guide. Compiled by experts, our corporate training lessons can be viewed day or night by computer or mobile device.

Data Modeling for Marketing - Chapter Summary

This corporate training chapter presents data modeling for marketing in an easy-to-follow format. Work with your employees on topics such as the uses of data modeling and the use of predictive marketing in business. Utilize this chapter to train new employees, head up a meeting or run a training workshop.

How It Helps

  • Includes examples: In addition to learning about the use of Python, R and Hadoop for marketing analytics, your teams will also review examples of each to see how they work in a real-life application.
  • Offers knowledge: After finishing this chapter, your employees will understand more about the uses for data modeling and predictive modeling.
  • Builds confidence: Employees who understand these marketing concepts about data modeling will feel more confident completing their job duties.

Skills Covered

This chapter is designed to assist your employees in doing the following:

  • Define data modeling as it pertains to marketing and recognize its uses
  • Outline the challenges in data modeling
  • Examine predictive modeling as it is used in business and marketing
  • Discuss the benefits of using R in marketing analytics
  • Use Python as it relates to marketing analytics
  • Explain why it's beneficial to use Hadoop for marketing analytics

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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