Survival analysis refers to a collection of statistical techniques used to analyze the occurrence and expected timing of events. Survival analysis can provide not only the probability of an event of interest occurring, but also the time at which the event is likely to occur. A particularly useful application of survival analysis is in the area of "customer churn"—the loss of clients or customers—which is a major concern in many industries. .....more

In November 2014, the founder and chief executive officer of HomeZilla, in Toronto, Canada, was considering how to provide value-added services to his business. One of the company’s main services was to work with real estate agents to provide web listings to attract home shoppers. Many Internet companies were analyzing web-browsing data in an effort to better understand user behaviour and thus improve their business. Inspired by this trend, the founder .....more

Teaching note for product 9B16E029.

Excel spreadsheet for students.

The purpose of this note is to introduce students to the basic use and vocabulary of Microsoft Excel. Excel is commonly used to do quantitative analysis in business. Students will encounter Excel applications in just about every area of business, including finance, accounting, operations management, marketing, and analytics.

This teaching note provides step-by-step illustrations and practice problems to assist students in learning how to use basic mathematical functions in Microsoft Excel. These functions are the necessary building blocks for many spreadsheet models. This teaching note includes practice exercises, answers, and a supporting Excel workbook for students.

The purpose of this note is to illustrate how to use cell references in Microsoft Excel. References are necessary when using functions and building models. This teaching note provides students with practice exercises and a supporting Excel workbook.

The purpose of this note is to illustrate the use of good modeling practices in Microsoft Excel. An effective spreadsheet model can be a valuable decision-making tool for businesses wanting to improve or expand their operations. To do so, a model must provide information relevant to the decision maker.

The purpose of this note is to introduce the concept of logical statements in Microsoft Excel and to illustrate the use of Excel’s built-in logic functions. The note includes practice exercises and their solutions, and a supporting Excel workbook for students.

The purpose of this note is to illustrate the use of Microsoft Excel functions for generating descriptive statistics for continuous data. These functions are common when analyzing data to provide insights for decision making. The note includes practice exercises and their solutions, and a supporting Excel workbook for students.