Prerequisite: CBIS 3120 & CBIS 3214. This course introduces the concepts, practices, technologies and systems of business intelligence and analytics. Business analytics supports enterprise level data management, analysis, reporting, decision making and leads to predictive analytics. This course focuses on helping students understand how best to leverage business intelligence and analytics to become more effective decision makers, making smarter decisions and generating better results for their organizations. Students have an opportunity to apply the concepts, principles, and methods associated with many areas of analytics (text, descriptive, predictive, and prescriptive) to real problems in an application domain. 

Learning outcomes

By the end of this course students should be able to: 1. Understand the role of IT in organizations and how companies use “business processes” and “integrated systems” for strategic advantage. 2. Understand Data Warehouse for competitive advantage and for decision making support 3. Explain, evaluate, and utilize analytics in IT Performance Management (key performance indicators and balanced scorecards) 4. Understand the role of Business Intelligence as a competitive advantage enabler as well as utilize and exploit Business Intelligence for business decision making 5. Explain, evaluate, and apply data mining concepts in terms of directed data mining tasks, undirected data mining tasks, and descriptive data mining tasks 6. Formulate business problems; transform them to data mining problems and apply selected tools to these business problems 7. Apply Business Analytics and Data Mining to a business problem solving.