MIS 404: BUSINESS INTELLIGENCE & KNOWLEDGE MANAGEMENT COURSE SYLLABUS The Field of Business Intelligence and Knowledge Management: The burgeoning field of business analytics (often called business intelligence) is the latest battlefield for corporations seeking to gain competitive advantage, or simply to survive in a fiercely competitive business environment. The focus is on collecting data in real-time about a firm’s many business processes (such as filling orders, hiring employees or purchasing supplies) and keeping track of exactly how the firm is performing in these areas. Managers can react quickly to rapidly changing circumstances as the need arises. This is the field of descriptive analytics. The most sophisticated firms are attempting to go beyond this and determine the effects of potential changes in their business processes. This is the field of predictive analytics. It allows firms to anticipate customer needs, create opportunities and beat their competition. Business analytics requires excellence in three fields. Vast amounts of data need to be collected, stored, accessed and disseminated, as transactions occur throughout the enterprise. This activity constitutes part of what is covered in information technology management. The data has then to be appropriately analyzed and presented to managers to aid in their decisionmaking, which is the field of data analysis and statistics. Moreover, the firm’s business processes must be carefully analyzed and optimized for maximum efficiency and effectiveness, which is the field of management science. The intersection of these areas of study constitutes the field of business analytics. It is the use of computers to analyze complex information about an organization and its competitors as inputs for business planning and decision making. The objective is to create timelier and higher quality input to the decision process. Amazon.com is a good example of how business analytics is used at an enterprise level. The company collects vast quantities of data about its customers as transactions occur, i.e. purchases take place. This data is stored in data warehouses and forms the basis for a multitude of analytical tasks. Amazon is known for performing extensive statistical analysis on users’ reactions to new features that they are contemplating. They also hired a professor of management science, one of the world’s leading authorities on optimization analytics, to head up their global supply chain. His team is building sophisticated supply chain systems to optimize the constant flow of products from suppliers and to customers. Knowledge management encompasses business intelligence/business analytics, but is a much broader field. It focuses on the management of the intellectual capital of the firm, which is exceedingly important considering that advanced economies are essentially knowledge-based. Knowledge management leverages both tacit knowledge (knowledge within employees’ heads) as well as explicit knowledge (knowledge that is codified, stored and accessible). Knowledge sharing is particular important for the former, whereas techniques such as data mining and management dashboards are used for the latter. Textbook: There is no text book. Readings from journals and other sources will be used, which can be accessed through the library or the Internet. Prerequisites: MIS 235 and MIS 245. Course Objectives This course requires extensive research, reading, writing and discussion. You are required to accomplish independent research on topics related to knowledge management and business intelligence. You are also required to read and think as informed readers and to respond to issues or problems raised in an analytical and creative manner. You will research and present an appropriate topic to the class, as well as research and write a report investigating a developing knowledge management issue or trend tailored to your personal interests. The objectives of MIS 404 are to: provide an opportunity for you to contribute to the design of this high level course based on your own interests; sharpen your research, analytical, critical thinking, synthesis and communication skills; enhance your ability to teach/explain knowledge management topics to others; examine current topics of interest in the field of knowledge management; provide a sense of how knowledge management is likely to affect your professional (and personal) future and, fulfill the requirements of a liberal education course. MIS 404 is designed to be a survey course in topics related to the field of knowledge management and business intelligence. All of us come into this course with a wide variety of academic, personal and work experiences. We all bring something a little different into this learning environment. The key is to find an effective way to tap into this reservoir of knowledge so we can learn from each other. The course is delivered incorporating a student-driven learning pedagogy. This means students will partially design the course, learn course material, and teach what they learn to each other. It is your course. You will help design it by deciding what topics you will cover, as well as how they will be delivered. My role, in addition to being your personal mentor and learning partner, is to facilitate, coordinate, and be an active participant in the learning process. Note: The readings prescribed by the instructor will serve to provide a common base of required knowledge about knowledge management, tools and technology. You will be expected to master this material in addition to exploring and discussing research topics of your choice which are tailored to your interests. This common knowledge will form the basis of your written exams along with the content of student presentations. Course Requirement Details Exams Projects Other Test One Test Two Final Exam 10% 10% 10% Class Presentation Software Projects (2) 20% Term Paper 15% Participation* 20% 15% * Participation includes your contribution to discussions based on class lectures by the instructor as well as student presentations. Quality will be preferred over quantity, but a demonstration that you have read the material will be highly valued. If you miss class, you obviously will lose class participation points. 2 Quizzes/Exams: These will be based on the readings and student assigned homework. The quizzes will consist of multiple choice questions or crossword puzzles. The final exam will be more conventional. Homework: Each student will choose appropriate readings and homework assignments that complement his/her presentation. The topic should reflect the interests of the presenter and presumably the rest of the class. It should be tied to the subject matter the class is covering at the time, and the emphasis should be on value added to the class’ knowledge. The readings must be posted on the Blackboard course site by Friday evening for Tuesday classes and Monday evening for Thursday classes. The penalty for being late is 3% of the final grade per day. About ¼ of the quiz questions will be based on these readings. A set of carefully designed questions should accompany the readings. These questions will be the basis for about ¼ of the quizzes. The presenting student should carefully design activities to engage the audience and interact with students in the class to reinforce the material being presented. These activities should preferably be interwoven into the class presentations to avoid long stretches of lectures. Student responses to questions asked of them will count towards class participation scores Class contribution: You must be here in order to contribute to the class. I expect everyone to be an active member in class discussions. Your contribution will be evaluated more on quality than quantity, including the homework design and responses. Grading: Grades for the course will be based on your relative standing in class, with a loose correlation with the standard grades for As, Bs, Cs and Ds (90+, 80+, 70+, 60+, respectively). Final total scores for the class will be rank ordered and clusters of scores will be assigned grades starting from the top cluster and proceeding downwards. There will be fewer A grades than B grades, and if all goes well, not many C grades and even fewer Ds. Assignments: The following assignments have been carefully crafted to meet the objectives of this course. Details are provided in separate documents. 1 class presentation in which students will lead a discussion of their topic and readings assigned to the class. 1 research term paper which will be done individually. 2 software projects (using knowledge management software) Written Work and Oral Presentations You must effectively communicate the technical material of this class to a non-technical audience. Use professional language when leading discussions. Unprofessional speech is overly casual ("you know"), unspecific ("like"), and uses slang ("sucks"). You should be clear, well organized, speak distinctly, and maintain good eye contact with the audience. Practice any presentations so that you are confident using both the equipment and application packages. I expect you to meet the writing standards commonly used in business and representative of graduating Miami business students (e.g., correct spelling, subject/verb agreement, complete sentences). Be clear but concise - don't make me guess what you are trying to say or wade through a lot of fluff to get to the point. Type all written assignments using: 1" margins (top, bottom, left, and right), no type smaller than 12 point, double spaced. Use an appropriate cover sheet and cover for your report so that it has a professional, business-like look. Your name should be on the top cover. 3 COURSE SCHEDULE Class 1 Topic (may change depending on circumstances) Course Introduction 2 Business Analytics 3 Business Intelligence in Continental Airlines Tom Davenport “Competing on Analytics”. Harvard Business Review. 2006. Book Excerpt “The Numerati” by Stephen Baker Knowledge Management & Business Intelligence Ron-Anderson Lehman, et al. “Continental Airline”. 2006. Claudia Imhoff .“Enterprise Business Intelligence”. 2006. 4 Assigned Reading Charles P. Seeley and Thomas H. Davenport “KM meets Business Intelligence” KM Review.2006. 8:6. Don Allen Price “The Dawn of a new ERA” DM Review. 2006. 5 Knowledge Management & Business Intelligence 6 Knowledge Management (cont.) 7 The Balanced Scorecard 8 The Balanced Scorecard–SAP example 9 Dashboards and Scorecards Meridith Levinson “The ABCs of KM” “What is Knowledge Management” World Bank. 1998. Yongsun Paik and David Y. Choi. “The Shortcomings of a Standardized Global Knowledge Management System: The Case Study of Accenture”. Academy of Management Executive. 2005. 19:2. Robert S. Kaplan and David P. Norton. “The Balanced Scorecard Measures That Drive Performance”. Harvard Business Review. 1992 Nick Milton. “Filtering an Organization’s Critical Knowledge”. KM Review. 2007. 10:1. Hugh J. Watson. “Dashboards and Scorecards”. Business Intelligence Journal. 11:1 4 10 Performance Measurement software 11 QUIZ 1 12 Expert Systems 13 Expert Systems (cont.) 14 Expert Systems (cont.) 15 Decision Trees 16 Decision Trees (cont.) 17 Decision Trees (cont.) 18 Business Intelligence 19 Business Intelligence software 20 QUIZ 2 21 Data Warehousing 22 Data Warehousing (cont.) 23 Data Warehousing (cont.) 24 Data Warehousing (cont.) 25 Data Mining and Knowledge Discovery 26 27 Data Mining and Knowledge Discovery (cont.) Data Mining and Knowledge Discovery (cont.) *** THANKSGIVING BREAK *** 28 Supporting Knowledge Work 29 Supporting Knowledge Work (cont.) 30 The Challenges Ahead 31 The Challenges Ahead (cont.) Chapter 12 Section 1 Laudon & Laudon text Chapter 12 Section 2 Laudon & Laudon text Chapter 12 Sections 3 and 4 Laudon & Laudon text Tutorial 1 from website http://decisiontrees.net/node/16 Tutorials 2-7 from site above Hugh J. Watson. “Recent Developments in Data Warehousing”. CAIS, 2002. Gary Loveman. “Diamonds in the Data Mine”. Harvard Business Review. 2003. Two Crows Corporation. “Introduction to Data Mining and Knowledge Discovery”. 2005 The Future of Work. Business Week, 2007. *** FINAL EXAM *** 5 MIS 404: KNOWLEDGE MANAGEMENT SOFTWARE ASSIGNMENT #2 This assignment requires you to enact a scenario which is very common in industry. You’re currently posted in the credit scoring department of a major financial institution. Your boss attends a seminar on Knowledge Management and learns about the wondrous capabilities of Expert Systems. He sat through a presentation describing Exsys’ CORVID expert system and how it could be used to guide junior loan officers by harnessing the expertise of the company’s best loan officers. He was also told that the application is quite easy to develop (you’ve heard that before). Upon returning to the office, he asks you to create an expert system using the CORVID package, after interviewing and observing the top performing loan officers. You tabulate their decisions in a table shown below. You then download the CORVID evaluation system and develop the expert system as directed. case number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 loan purpose frivolous frivolous frivolous frivolous frivolous frivolous necessity necessity necessity necessity necessity necessity luxury luxury luxury luxury luxury luxury ability to repay good good good bad bad bad good good good bad bad bad good good good bad bad bad past payment record good slow poor good slow poor good slow poor good slow poor good slow poor good slow poor loan officer's decision GRANT GRANT DENY DENY DENY DENY GRANT GRANT GRANT GRANT GRANT DENY GRANT GRANT DENY DENY DENY DENY NOTE: Your boss would expect you to only ask questions of a policy-making nature if one should arise. You obviously should not be asking him how to log on your system, how to download, and so on. Fortunately for you, Exsys has an excellent tutorial on how to set up a system using CORVID which you should download. 6