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Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. In Chapter 4, the author examines data exploration and the business applications of advanced analyses. The four classic tasks of data mining are discussed at length: classification, cluster analysis, estimation, and mining association rules. Limitations of data exploration methods are analyzed in detail, and standard business applications are reviewed

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 5 explores issues related to the analysis of personal data and its application in direct marketing, and considers the use of business intelligence systems to analyze human behavior. The chapter also examines the development of the field of customer intelligence and its revolutionary influence on the daily life of actual and potential customers.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. The sixth and final chapter examines the difficulties of quantifying the impacts of the applications of business intelligence (BI) discussed earlier in the text. It presents a model based on the concept of a strategy map, which shows relationships between the application of BI systems and the potential enhancement of a company's value. The author considers ways of connecting BI implementation with a company's business processes, the conditions necessary for success (as well as potential threats), and methods for estimating the return on investment from such projects. He also discusses change management issues and the role of human capital.

Although demand for enterprise resource planning (ERP) systems in China has been steadily increasing, many such implementation projects have ended in failure. Keda Industrial Co. Ltd. (Keda), a manufacturer of large-scale machinery in China, had successfully deployed its ERP solution. This case study documents Keda's ERP initiative from conception to its deployment and offers insights into the factors and practices that contributed to its success in the Chinese cultural context.

During the past five to 10 years, several different intermediation business models have emerged for the intellectual property (IP) market. This note describes the most prominent ones: nonpracticing entities (or patent trolls), defensive patent aggregators, online IP platforms, live IP auctions, and IP exchanges.

A marketing company has collected a large dataset on brand equity for the fast-food and travel sectors. They have come up with their way of measuring "brand equity." Various statistical techniques are used to assess the concept of brand equity. These include descriptive statistics, crosstabs, ANOVA, and MANOVA.

Spreadsheet supplement for case 910E23.

Spreadsheet supplement for case 910E23.

In October 2010, Triangulate's founder/CEO must determine what product features to develop and what marketing programs to pursue in order to boost the odds of successfully raising another venture capital round for his nine month-old Facebook dating application. The case recounts the process of launching a consumer internet startup, from idea conception through initial efforts to validate the concept, followed by product launch and subsequent business model "pivots."

In earlier work, the author has argued for the concept of open innovation -that companies should both organize their innovation processes to be more open to external knowledge and ideas and also let more of their ideas and knowledge flow to the outside when not being used internally. Yet initial discussion of open innovation contrasted it to traditional R&D and product development; this had the effect of placing the focus more on product and technology innovation than on service innovation. Open innovation works somewhat differently in service businesses, in part because the role of the customer is different; in a service business, the customer is often involved in an iterative process with the company that results in a customer experience. In addition, innovation processes work differently in services. Few companies have formal R&D operations for the services they provide, and the customer may need to participate throughout the service innovation process. Some of the concepts of open innovation apply readily to service innovation. For example, Amazon. com has not only created open service innovation by bringing the "outside in"-think of customer reviews on Amazon.com and third parties selling products via Amazon's site -but also by taking the"inside out,"by, for example, using internal knowledge and infrastructure to create a business selling cloud computing services to other companies. Companies interested in moving toward open service innovation can try techniques such as working closely with customers to develop new solutions for them; focusing offerings on utility for customers, rather than on products; and embedding the company in a customer's organization. Companies that have traditionally been product oriented may need to make some organizational changes, such as changing service pricing, as they move to a more service-oriented approach.

This case introduces Canada's IT-reliant healthcare system, using three real vignettes: an unconscious emergency room patient whose electronic health record (EHR) may have saved his life; a patient whose health problems and complex drug plan was effectively and holistically managed by pharmacists using a shared information system; and a bone marrow transplant patient who was able to remain in his remote community, and retain his quality of life, thanks to a Telehealth videoconferencing system. Discussion questions invite students to consider how IT plays a role in healthcare, the nature of "deep integration', and why it takes so much time and money to develop effective IT for complex systems such as healthcare.

This case opens with a fictitious yet common situation of a corporate executive who is uncertain how to respond to a distributed denial of service (DDoS) attack. It provides some anecdotes and statistics relating to DDoS attacks, and then briefly tells the story of Michael Calce, nicknamed "Mafiaboy," who as a young teen effectively launched attacks that shut down companies such as Amazon, CNN, Dell, eBay and Yahoo! The basic DDoS process is explained, and then students are invited to evaluate whether Calce's punishment fit his crime, the relatively low level of computer expertise required to launch a damaging attack, potential risks to traditional (non IT-focused) firms, and whether doing business on-line is too risky.

This case focuses on Open Text, a Canadian software development firm that offers enterprise class, knowledge management tools. Three major customer implementations of Open Text software tools are described: Hyatt Hotels created an effective centralized meeting platform and improved customer service; Siemens AG dramatically improved its routine workflow processes; and EnCana sped up information access using a map-based interface to its document repository. Discussion questions invite students to consider the difficulties in managing unstructured information, the organizational benefits of effectively managing knowledge, and the potential risks of "missing out" on the information revolution.

Celanese, a global leader in the chemical industry, had spent a number of years implementing a single instance ERP solution and integrating the divisional IT functions into a shared services model. Around 2007, after years of application and IT service growth, many in Celanese IT believed that their internal operations were in desperate need of tighter coordination and process discipline. They looked to Information Technology Infrastructure Library (ITIL) to guide their process integration effort. This case describes the first three years of the IT organization's journey with the ITIL process framework.

The chief leasing officer (CLO) of Arthur Hill & Company was preparing Sunrise Atrium (a commercial property currently in the company's portfolio) for sale. Currently, many of the tenants of the building had signed long-term leases that still had time to run but were significantly below market rates. The CLO believed that the majority of potential buyers of Sunrise Atrium would use the cap rate method of valuation, which made the future net operating income (NOI) a key component of the valuation and hence the sale price. To improve the value of the building, the CLO was considering offering a "rent holiday" to selected tenants as a way of raising some leases to market rates. To determine if it made business sense, the CLO identified the key success factors to be the choice of tenants eligible for the holiday and the duration of the holiday. His goal was to develop a lease reconfiguration plan that would add value to investors.

The Computerized Provider Order Entry at Emory Healthcare case presents one hospital system's efforts to implement computerized provider order entry (CPOE) across all of its hospitals and the challenges they faced in doing so. Issues such as standardization of care, how to handle medication reconciliation, and unexpected challenges (e.g., changes to the post-op ordering process, lack of a human gatekeeper to monitor order flow, increase in lab orders). Dr. Bill Bornstein, Chief Quality and Medical Officer of Emory Healthcare in Atlanta is responsible for the smooth implementation of CPOE at Emory Healthcare, which is a vital part of their $50 million electronic medical record initiative. By June 2009, CPOE had gone "live" at Emory University Orthopaedics and Spine Hospital, Emory University Hospital, and Wesley Woods Hospital in a staged rollout. While Dr. Bornstein felt good about how the implementation had gone thus far, as he looked ahead next month to July 13, 2009, the fast approaching go-live date for Emory University Hospital Midtown (EUHM), he was concerned about the challenges and possible perils that lay ahead. He considered what additional actions he should take to prepare for go-live at Midtown, and if Midtown was ready for CPOE at all. One thing was certain; this hospital was different. The Computerized Provider Order Entry at Emory Healthcare case presents one hospital system's efforts to grapple with the challenges of implementing CPOE and the reactions that result. Issues such as how to deal with a workforce that has mixed views about the value of implementing such systems, the pros and cons associated with standardization of care, as well as how to deal with unexpected changes to work processes are brought out in the case. The case also allows for discussion of how to plan a phased implementation with adequate time for organizational learning to occur between the time that various sites "go live."

This case describes a real scenario in which an elderly couple's vehicle is stranded in a remote location, causing emergency services to be dispatched at significant effort and cost, whereas an inexpensive tow truck dispatch would have completely resolved the problem. To prevent these kinds of false alarm situations, the Canadian Automobile Association (CAA) has developed a free iPhone application called CAA Roadside, which takes advantage of location-based technology that is built into the iPhone. Discussion questions invite students to consider the business benefits of developing mobile apps, tradeoffs involved in choosing one development platform over another, and long-term positive and negative impacts of the diffusion of mobile location-based technologies.

Any seasoned executive knows that information technology (IT) projects have a high failure rate. Large IT projects can become the business equivalent of what astrophysicists know as black holes, absorbing large quantities of matter and energy. Resources get sucked in, but little or nothing ever emerges. Of course, projects do not become black holes overnight. They get there one day at a time through a process known as escalating commitment to a failing course of action. Without executive intervention, these projects almost inevitably turn into black holes. This article sheds light on the insidious process through which projects that devour resources, yet fail to produce business value, are created and gradually evolve into black holes. It presents a framework that explains the creation of black hole projects as a sequence of three phases: drifting, treating symptoms, and rationalizing continuation. The framework is illustrated through two cases: EuroBank and California DMV. The article then presents recommendations to prevent escalating projects from becoming black holes and provides a means for detecting problems at an early stage.

This article explores what it is that managers actually do to successfully lead IT-enabled change. It is based on a three-year case study of the practice of leading IT-enabled change inside the global telecommunications company Ericsson. This organization managed to successfully change their finance and accounting department from an independent structure of numerous local finance and accounting organizations with their own information systems and their own way of doing things into one interdependent global network of shared service centers enabled by a single information system. Based on this and other studies, this article develops a commonality framework for IT-enabled change, which offers important guidelines to improve managerial practice.

In light of the trend towards open innovation, interorganizational technology transfer by means of alliances and licensing has often become a key component of open innovation processes. Inbound open innovation describes inward technology transfer, whereas outbound open innovation refers to outward technology transfer. Traditionally, inward technology transfer has received considerable attention because most practitioners and academics focus on the technology recipient's absorptive capacity. In contrast, the role of the technology source has been relatively neglected. This article addresses the concept of desorptive capacity, which refers to a firm's ability to identify technology transfer opportunities and to transfer technology to the recipient. The notion of market knowledge in the concept of desorptive capacity deepens our understanding of many firms' managerial difficulties in implementing active technology transfer strategies. Thus, desorptive capacity enriches our understanding of the dynamics of outward technology transfer. It provides new insights into the success or failure of interorganizational technology transactions.