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CMIT VCBA - How to compete on Business Analytics* "NOT ESTABLISHED"

Faculty
Lene Pries-Heje, assistant professor
Course Coordinator
Lene Pries-Heje
Prerequisite/progression of the course
General classes on business strategy, information systems design, data modeling and database management should have been attended at the bachelor level.
Course content, structure and teaching
In uncertain economic times it becomes vital for companies to aggressively explore their data so that actions taken at any level in the organization are based on meaningful analyses of past performance, current conditions and likely future trends. Having the right data, in the right place, at the right time as well as knowing how to utilize the data becomes essential. This course will cover methods and tools used to provide the information infrastructure as well as the skills, technologies, applications and practices of continuous exploration and investigation of the data to gain insight and drive business planning and business development. The aim of the course is to provide students with a comprehensive overview of how to establish the infrastructure and the skills for the organization to compete on business analytics.
The course draws from a range of subject areas including business strategy, data warehouse/business intelligence and business analytics. Taking these subject areas as part of departure the course will address fundamental design and implementation issues in order to establish the basis for business analytics. The course is conducted as a combination of teacher and student presentations, class discussions, and activities planned by the teacher e.g. interviewing vendors or user organizations.
The course's development of personal competences
The students will learn professional terminology and develop their analytical and problem solving skills within the area of Business Intelligence and Business Analytics. Upon the completion of the course the students will be able to assist organizations design and implement an information infrastructure and organize continuous and meaningful analysis at different levels in the organization
Learning Objectives
After the course the students should be able to:
  • Explain the concepts, theories, methods and models of the course
  • Describe how organizations need to prepare themselves in order to compete on business analytics
  • Describe the advantages and complications of different technical architectures
  • Describe the advantages and complications of business analytics
  • Identify and analyze problems related to design, implementation and deployment of
  • information infrastructures intended for Business Analytics in a concrete organization applying the concepts, theories, methods and models of the course.
Type of examination, exam aids and assessment
Individual oral exam (20 min) on the basis of a mini project. Max. 10 A4-pages per individual project
Max. 15 A4-pages for groups of 2-5 students. Recommended group size: 4 students.
Recommended literature
  • Kimball, Ralf, Margy Ross, Warran Thornthwaite, Joy Mundy and Bob Becker (2008). “The Data Warehouse Lifecycle Toolkit”, Wiley Publishing Inc.
  • Davenport, Thomas H. and Jeanne G. Harris (2007), “Competing on Analytics: The New Science of Winning”, Harvard Business School Publishing Corporation.

Last updated by The Electives Office 07/07/2010