Get started with custom lists to organize and share courses.

Sign up

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Managing Uncertainty in Marketing Analytics

Emory University via Coursera

Found in Marketing
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

Marketers must make the best decisions based on the information presented to them. Rarely will they have all the information necessary to predict what consumers will do with complete certainty. By incorporating uncertainty into the decisions that they make, they can anticipate a wide range of possible outcomes and recognize the extent of uncertainty on the decisions that they make. In Incorporating Uncertainty into Marketing Decisions, learners will become familiar with different methods to recognize sources of uncertainty that may affect the marketing decisions they ultimately make. We eschew specialized software and provide learners with the foundational knowledge they need to develop sophisticated marketing models in a basic spreadsheet environment. Topics include the development and application of Monte Carlo simulations, and the use of probability distributions to characterize uncertainty.

Syllabus

Randomness and Probability
-Module 1 focuses on developing an understanding where randomness appears in marketing problems. You will learn basic rules for calculating the probability of outcomes. We will also examine how these rules can be applied to determine the value of information

Conducting Monte Carlo Simulations in Excel
-Building on the basics of randomness and probability discussed in Module 1, we examine the use of Monte Carlo simulations for incorporating randomness into business problems. Using Microsoft Excel, we will build a tool that conducts a Monte Carlo simulation. We will use this tool to evaluate the best course of action for a particular business problem.

Using Probability Distributions to Model Uncertainty
-In Module 3, we look at the use of probability distributions as a means of characterizing uncertainty. We initially look at how uncertainty is incorporated into a general decision making framework. We then turn our attention to different probability distributions that can be used to model uncertainty, depending on the nature of the data. We examine the application of these probability distributions to assess the likelihood of events using features within Microsoft Excel.

Application: Designing Extended Service Warranty Plans
-Building the the discussion of probability distributions in Module 3, we apply this knowledge to a specific application: the design of extended service warranty plans. We provide an overview of the business problem and discuss how to incorporate uncertainty in customers' use of the warranty plan using the Poisson distribution. Using Microsoft Excel, we design a spreadsheet tool that enables a user to adjust features of the service plans. By comparing firm profit under different scenarios, we investigate how different features of the service plan result in risk being shared by the consumer and the firm.

Taught by

David Schweidel

Tags

Help Center

Most commonly asked questions about Coursera Coursera

Reviews for Coursera's Managing Uncertainty in Marketing Analytics
Based on 0 reviews

  • 5 star 0%
  • 4 star 0%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.