Introduction to Data Marketing Communications (DMC 660) gives an introduction to the entire program with a focus on upcoming curriculum and industry trends as well as an overview of campaign management systems available in the market.
This course also includes a quantitative “boot camp” to ensure students are ready to progress to the other courses in the program’s sequence. This “boot camp” will consist of a series of modules, which students must complete concurrently with their other coursework. Completing these modules will ensure that students have a solid understanding of the quantitative terms and concepts needed to succeed in future Data courses.
DMC 660 Introduction to Data Marketing Communications Course Details
Course Learning Outcomes
Upon successful completion of DMC 660, students will be able to:
- Explain the basic principles of marketing, media and digital analytics.
- Distinguish between reporting and analysis.
- Discover how metrics and analysis inform business decision making.
- Explain how marketers use current analytic methods such as segmentation, profiling, and RFM to deliver ROI for their clients.
- Discuss the role of big data in marketing decision making.
- Apply measurement and metric problem solving skills.
- Essential Business Metrics Every Data Marketer Needs to Know
- Database Marketing Fundamentals
- Profiling, Segmentation and Modeling
- Essential Financial Metrics and Big Data Analytics
- Salesforce and Marketing Automation
- Essential KPI’s in Marketing and Web Analytics for Business
- Laggards and Leaders and Data Visualization
Top 3 Takeaways from the Course
- How to combine multi-channel metrics, baselines and benchmarks with thoughtful and actionable analysis.
- Learn best practices in data visualization.
- The fundamentals of business and marketing measurement.
Professor Jacobi’s Passion for Teaching
How to be successful in DMC 660 and what to expect
Thinking about registering for DMC 660?
Course Intensity and Workload
The course introduces a lot of new topics within data-driven marketing, with a 4 out of 5 workload ranking, estimating 10-15 hours per course per week.
View the Full Interview with Professor Jacobi