BAN5573

Description

By leveraging enterprise information assets, business intelligence tools and technologies can help businesses become more efficient and effective in their operations. Business Intelligence utilizes technology, expertise, knowledge, statistics, and creative thinking to identify problems and provide solutions to them. The focus of this class is to learn about enterprise approaches to business intelligence through case studies, decision support systems (DSS), development methodologies, and enabling technologies. This course will provide students with the experience to conduct an analytic project from gathering the data to interpretation in the business intelligence technologies such as Tableau, Power BI, KNIME, LINGO, and others. The analytics content is divided into three parts: descriptive, predictive, and prescriptive analytics. The first four to five weeks will be spent learning descriptive analytics and will be performed in Tableau. The next four to five weeks will be spent learning predictive analytics methods using KNIME software. The remaining weeks will be utilized to learn linear programming and other prescriptive analytics methods using Excel Frontline Software, and LINGO. This course also involves a project in the form of a creative component. The details are given later in the syllabus. By the end of the course students will develop an understanding of the role of computer-based information systems in direct support of managerial decision making.