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Paritosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and organizational challenges Desai faced and the trade offs he considered in his four-year journey to develop the larger retail business into a data science organization.

This is a pretty basic case on financial accounting, with a tricky twist. The organization needs to reconstruct its financial statements, and the retained earnings account needs to be adjusted

The manager of an automobile repair garage is preparing a budget. There are several variables that must be considered in doing so.

Supplement to case TCG051. This is a follow on case to El Conejo (A). The budget has not been achieved, and the manager must figure out why. There are several relevant variances

This is a relatively simple ABC case designed to assist students to master the concept. The company is manufacturing computers and needs to determine prices for different models

The chief of dermatology at a major medical center is attempting to convince senior management to develop an outpatient treatment center for psoriasis. Doing so will require a capital investment, but will free up some inpatient beds for other patients.

This is an ABC case that focuses on Stage 2 of the process. Costs have been allocated to mission centers and the chief gynecology must now determine how to "attach" the department's costs to the various procedures it conducts.

In October 2016, the founder of Summer Swim Academy—a provider of swimming lessons and lifeguarding services to families in Burlington, Ontario—was reflecting on the organization’s second full season of operations. The founder had been providing services in Burlington for the past six years and had been operating the business formally under the Summer Swim Academy brand for the past two years. She wanted to evaluate the possibility of expanding her business, either geographically or to a year-round operation, in order to achieve a profit goal of $50,000. To determine whether this goal was attainable, she needed to assess geographic and service-delivery expansion options for Summer Swim Academy.

An analyst's The manager at a local investment firm had been reading through a recent report regarding MGM Resorts International when he noticed a drop in the company's bad debt expense estimate for 2016. He had asked an analyst at the firm to investigate. The manager knew a decrease like this could indicate an improvement in collectability from customers, but he also knew the expense was subject to estimates from management. He needed to know whether to interpret the decline as a good sign or not. This case is intended for use in an introductory financial accounting course to demonstrate the impact of accounts receivable on financial statements.

In 2016, the owner of a cow-calf operation must decide what the appropriate weight for cows in their herd is. For decades, the national trend has been for cow weights to increase because they produce larger calves, but evidence indicates that cow weights may have reached the point where the cost of maintaining a larger cow has become greater than the return from producing a larger calf. Analyzing this issue introduces marginal principles from economics. Formerly Old Mule Farms, product no. 9B10B004.

In 2015, the owner and the founder of a restaurant business in Dubai was concerned about the company's future expansion and growth. Although it was doing well in terms of profitability, a financial forecast was required for the following year, particularly in light of tough competition in the restaurant business in Dubai.

As a global energy generating company, AES frequently faces challenges from political changes and instability. This is exacerbated by the fact that in many instances AES' primary customer is the government, which is also in charge of law-making. For example, AES' management team has encountered expropriation risks in Venezuela, collection problems in the Dominican Republic, and regulatory changes in the United States that have led to asset impairments. More recently, the Bulgarian energy regulator announced its intentions to seek a 30% price reduction on a power purchase agreement signed over 10 years ago with AES. Accordingly, AES' management is evaluating whether the renegotiation will lead to any asset impairments and the overall effects on its financial statements.

Supplement to case 118023. As a global energy generating company, AES frequently faces challenges from political changes and instability. This is exacerbated by the fact that in many instances AES' primary customer is the government, which is also in charge of law-making. For example, AES' management team has encountered expropriation risks in Venezuela, collection problems in the Dominican Republic, and regulatory changes in the United States that have led to asset impairments. More recently, the Bulgarian energy regulator announced its intentions to seek a 30% price reduction on a power purchase agreement signed over 10 years ago with AES. Accordingly, AES' management is evaluating whether the renegotiation will lead to any asset impairments and the overall effects on its financial statements.

Unlike its rival Airbus, Boeing used a practice called program accounting to record its commercial aircraft expenses since the 1980s. Program accounting allowed Boeing to expense estimated average costs instead of the actual production costs of an aircraft. This practice lowered the effect of the initially high costs of manufacturing new aircraft models on Boeing's profitability and reflected potential learning efficiencies that could drive down manufacturing costs over time. By 2016, Boeing had deferred about $27 billion in production costs related to its 787 program. If Boeing had been forced to expense these costs, it would have shown profits of $1.4 billion between 2012 and 2016 instead of $25.2 billion, raising questions about Boeing's true profitability.

In early 2016, RWE, a utility that operates nuclear power plants in Germany, came under scrutiny from regulators and the media over the adequacy of its provisions for costs of decommissioning and dismantling (D&D) its nuclear power plants. Accounting standards required utilities to record the present value of projected D&D costs as a liability. However, there were many uncertainties associated with these estimates given the actual cash outlays would be incurred decades into the future. In addition, German government bond rates used to discount projected future costs had fallen to record lows, and RWE, as well as its competitors were struggling with depressed electricity prices. Would RWE's provisions be adequate to cover the future costs?

In November 2014, questions were raised about American electric car manufacturer Tesla Motors Inc.'s (Tesla's) accounting practices, which did not follow the generally accepted accounting practices (GAAP). Tesla’s third quarter 2014 financial statements showed a loss of almost US$75 million when using U.S. GAAP standards, compared to a profit of over $5 million when using its own non-GAAP standards. The accounting discrepancy between the two systems was due mainly to the allotment of vehicle buybacks, stock-based compensation, and regulatory credit sales. Tesla’s share price had risen to $242 from its initial public offering of $17. Had the company’s non-GAAP adjustments influenced investors’ perception of Tesla’s performance and, therefore, the resulting stock price? Specifically, was it reasonable to state that Tesla had been profitable in the third quarter of 2014? Were Tesla’s non-GAAP adjustments appropriate? How could the adjustments between Tesla’s GAAP and non-GAAP numbers be explained? What would Tesla’s performance look like if the financial statements were adjusted for the resale value guarantee, regulatory credits, and stock-based compensation?

In November 2014, questions were raised about American electric car manufacturer Tesla Motors Inc.'s (Tesla's) accounting practices, which did not follow the generally accepted accounting practices (GAAP). Tesla's third quarter 2014 financial statements showed a loss of almost US$75 million when using U.S. GAAP standards, compared to a profit of over $5 million when using its own non-GAAP standards. The accounting discrepancy between the two systems was due mainly to the allotment of vehicle buybacks, stock-based compensation, and regulatory credit sales. Tesla's share price had risen to $242 from its initial public offering of $17. Had the company's non-GAAP adjustments influenced investors' perception of Tesla's performance and, therefore, the resulting stock price? Specifically, was it reasonable to state that Tesla had been profitable in the third quarter of 2014? Were Tesla's non-GAAP adjustments appropriate? How could the adjustments between Tesla's GAAP and non-GAAP numbers be explained? What would Tesla's performance look like if the financial statements were adjusted for the resale value guarantee, regulatory credits, and stock-based compensation?

In 2016, the owners of Styles Inc. (Styles), a bespoke tailoring company in Toronto, Canada, needed to decide whether to discontinue the least profitable of the company's seven clothing lines or to increase that clothing line’s retail selling price. Over the previous six years, Styles had been financially successful, and customer retention was a major factor in this success. However, competition was increasing and profits were shrinking. Should the owners drop the clothing line that had the lowest margin or increase its retail selling price? If they chose to increase the price, they would need to decide on the amount of the price increase. The owners wondered whether increasing the price would still enable them to meet their target contribution margin.

This case was written for the EC course "Managing with Data Science." The course provides MBA students with no programming experience an introduction to the field of data science and its applications in business. Students learn to (1) carefully articulate the business ask, (2) reason carefully from the ask; through metrics and models, and outputs; and (3) evaluate outputs from models to (4) develop a plan for action. In this case students explore the challenges of using sentiment analysis to monitor and understand public perception around brands. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis.

This technical note provides hands-on instructions for searching, classifying, and obtaining documents from the U.S. Security and Exchange Commission's (SEC) official document repository, EDGAR. It helps students become familiar with the different types and classifications of SEC filings available for public companies registered with the SEC.