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Technology projects are inherently risky; research shows that large IT projects succeed as originally planned only 28 percent of the time. Building flexibility, or real options, into a project can help manage this risk. Furthermore, the management flexibility of options has value, as the downside risk is reduced and the upside is increased. The case is based upon real options analysis for an enterprise data warehouse (EDW) and analytic customer relationship management (CRM) program at a major U.S. firm. The firm has been disguised as Global Airlines for confidentiality reasons. The data mart consolidation or EDW marginally meets the hurdle rate for the firm as analyzed using a traditional net present value (NPV) analysis. However, different tactical deployment strategies help mitigate the risk of the project by building options into the project, and the traditional NPV is expanded by the real option value. Students analyze the different deployment strategies using a binomial model compound option Excel macro, and calculate the volatility using Monte Carlo analysis in Excel. A step-by-step tutorial is provided to teach students how to accomplish the real options analysis for a simplified project, and this tutorial is easily generalized by students to the case scenario. In addition to the tactical options, the case also has the strategic growth option of analytic CRM. Students must therefore analyze both the tactical and strategic growth options and make a management recommendation on funding the project and also recommend an optimal deployment strategy to manage the project risk.

The case teaches real options for technology projects. Students learn how to calculate real option values, where the key input of volatility is obtained by Monte Carlo analysis in Excel. Students also learn that the real option value is “real,” resulting from active management mitigating the risk of the project and improving the upside. Most important, students understand the difference between tactical vs. strategic growth options and the important management issues to consider.

This case is based on a real-life consulting engagement with a major Fortune 100 telecommunications company. The name of the firm has been disguised for confidentiality reasons. Completing the case teaches students how to develop a cost-containment ROI analysis and develop a business case for a large enterprise technology project. The class discussion focuses on strategies to understand and manage the risks of the project and organizational issues. In addition, the case teaches students good questions to ask when reviewing a complex project business case, and how to present a project for funding approval. This case is the second in a series of three cases designed to teach students ROI analysis for technology projects; the first is “B&K Distributors: Calculating Return on Investment for a Web-Based Customer Portal” and the third is the case “ROI for a Customer Relationship Management Initiative at GST.”

The case objective is for students to learn how to compute a return on investment (ROI) analysis for a large cost-containment technology project. Students learn the best practice of computing the range of possible outcomes (the best, worst, and expected case), and how to present the results to senior management. In addition, students learn how to incorporate important management issues of personnel reduction and technology project risk into an ROI analysis.

In this return on investment (ROI) for customer relationship management (CRM) case scenario, students must calculate the ROI for analytic CRM enabled by an enterprise data warehouse. The case is based upon a real-life consulting engagement with a major Fortune 100 telecommunications company. In this case the executive management team's strategic objective is to grow the customer base by 5 percent annually by customer acquisition. The internal rate of return calculated from the data given in the case is more than 800 percent for one year, and sensitivity analysis shows this is a robust projection, suggesting it should be funded without question. However, the strategy of the firm is customer acquisition in an environment of high customer churn. As a result of these dynamics, the revenues and net income of the firm are actually decreasing by hundreds of millions of dollars each year. A better solution would realize that the executive team has the incorrect strategic objective. Customer acquisition is the wrong approach in an environment of high customer churn and executives should focus on customer retention and cross-sell and up-sell to high-value customers. The case discussion therefore takes students beyond CRM ROI to focuses on the key strategic concepts of customer relationship management.

Students learn how to calculate return on investment (ROI) for analytic customer relationship management (CRM) initiatives. The case also discusses in detail the difference between operational CRM and analytic CRM. The case solution is relatively straightforward with a very good ROI. However, the true learning of the case is for students to understand the strategic context of analytic CRM and to question assumptions in any ROI model.

Within a context of the globalization of retailing, examines the current structure of pan‐European food retail consolidation. Portrays the interlinkages between firms in the EU food retail market, and offers an assessment of the three leading consolidators (Carrefour, Wal‐Mart, Ahold) in that market. Considers potential acquisition/merger targets in France and the UK, and conceptualizes the future process of consolidation as a struggle between competing models of globalized retail operation. Assesses the strengths and weaknesses of those models.

In a distributed learning environment, the development of learning objects is a participative task. We consider learning objects as knowledge pieces, which are subject to the management processes of acquisition, delivery, creation and production. A multiple‐tier architecture for participative knowledge production tasks is introduced, where knowledge‐producing agents are arranged into knowledge domains or marts, and a distributed interaction protocol is used to consolidate knowledge that is produced in a mart. Knowledge consolidated in a given mart can be in turn negotiated in higher‐level foreign marts. The proposed architecture and protocol are applied to coordinate the authoring of open e‐book packages as learning objects by a distributed group of authors.

Managing enterprise performance is an important, yet a difficult process due to its complexity. The process involves monitoring the strategic focus of an enterprise, whose performance is measured from the analysis of data generated from a wide range of interrelated business activities performed at different levels within the enterprise. This study aims to investigate management data systems technologies in terms of how they are used and the issues that are related to their effective management within the broader context of enterprise performance management (EPM).

A range of recently published research literature on data warehousing, online analytic processing and EPM is reviewed to explore their current state, issues and challenges learned from their practice.

The findings of the study are reported in two parts. The first part discusses the current business practices of these technologies, and the second part identifies and discusses the issues and challenges the business managers dealing with these technologies face for gaining competitive advantage for their businesses.

The study findings are intended to assist the business managers to effectively understand the issues and technologies behind EPM implementation.

The purpose of this paper is to critically examine the underlying reasons for the recent slow‐down in the rate of sales growth for the world's largest retailer, its implications for the economic valuation of this enterprise, and its future as a cohesive organization.

Wal‐Mart's comparative or same store sales growth over the last five years are contrasted with two of its key rivals Target and Costco, and the source and momentum of its core US growth record are examined over the last decade.

The results of the investigation indicate that Wal‐Mart has entered a new phase in its evolution as an enterprise, and the future rates of its growth will be limited to 3‐4 percent per annum in comp, and 10‐12 percent in total sales, excluding any acquisitions. This “new normal” is in part due to the extreme market share of Wal‐Mart in many of its trading areas, and the changing competitive landscape that was in no small part “created” in reaction to Wal‐Mart's own market power.

The analysis and its conclusions are of interest to retailing students and scholars who have been following the Wal‐Mart enterprise throughout the years, as well as retailing and merchandising analysts who have been struggling to define a new valuation model for the world's largest retail company. The paper is also of interest to retail market strategist as it illustrates that there are potential and natural limits to growth in all competitive arenas, and sources of new growth will always have to be sought in new product‐market spaces.

Investigates the entry of Wal‐Mart in Brazil, and subsequent moves of established retailers and new entrants with data taken from secondary sources and interviews with executives. First, internationalization of Wal‐Mart and its entry are discussed, which caused an impact on Brazilian retailing by accelerating the concentration, automation and modernization of the industry. Competitive reactions were classified in four categories: neutralizing competitors actions, establishing competitive advantage, redefining markets, and changing ownership. It is argued that Wal‐Mart’s experience in Brazil could be an interesting source of learning for foreign retailers desirous of entering the Brazilian market as well as for local companies that need to remain competitive to survive.