Business Intelligence

Release Date: 2017-09-21

Course Name	Business Intelligence				Course Number				S5102006
Course Semester	Semester 3		Course Time	36 Hours		Credit				2 credits
Course Type	□ Obligatory Courses √ Elective Courses
Institute	Information Science School			Applicable Major			Management Science & Engineering
Assessment method	□ Examination √ Test
Advanced courses	Database system, Probability and Statistics
Teacher	Wei Dingguo
Teaching Objectives
For the knowledge background and ability of the graduate students in the courses of "database system" and "probability and statistics", "Business intelligence" course is trying to get to the core technology based on data warehouse, OLAP and data mining, and so on. Combining with the practical development of the professional development, inspires students to get the idea and ability to analyze and solve practical problems. Through the course of teaching, to make the students achieve: 1. Master the core technology of business intelligence i.e. data warehouse, OLAP and data mining the basic concepts, theories and methods; 2. Master business intelligence in the field of e-commerce, mobile commerce, knowledge management, Web mining, enterprise performance management, process management, RFID data management and big data management and other fields; 3. Can provide the solution to the problem from theory and practice two aspects.
Teaching Contents
This course introduces the basic concepts, basic methods and application of business intelligence. The concrete content includes the structure of the business intelligence system, the data warehouse system, the on-line analytical processing (OLAP), the data preprocessing technology (including data cleaning, data integration and transformation, etc.), data mining (including classification, prediction, association and clustering) and data mining methods (including decision tree method, statistical method, association rules mining, etc.). On the basis of this, it discusses the latest applications of business intelligence in the fields of e-commerce, mobile commerce, knowledge management, Web mining, enterprise performance management, process management, RFID data management and big data management. In addition, through the IBM.SAP and other industry leading business intelligence tool for experiments, enhance the students' ability to apply. Using data warehouse and data mining technology to store and manage customer data, and through various data analysis tools to analyze customer data, provide all kinds of analysis reports, such as customer value evaluation, customer satisfaction evaluation, service quality evaluation, marketing effect evaluation, future market demand, etc. Business intelligence and innovation management concept, integrated with the data inside and outside the enterprise, processing and extracting the information that can create business value, the enterprise strategy and service management. To guide enterprise management decision-making, enhance the competitiveness of enterprises, involving the enterprise strategy, management ideas, business integration and technical system, and promote the transformation of information to knowledge and then to profit, so as to achieve better performance.
Outline Designer		Wei Dingguo		Date				2015.10.8 8th.Oct.2015