Business Technology Management Administration (BTMA) 444
Business Intelligence and Analytics (Revision 1)
Contemporary businesses operate in an increasingly data-driven world. Successful businesses around the world are investing heavily in technologies and systems to become more informed about the key elements that affect their business operations, support and serve their customers, and sustain their competitive positioning with their markets. Decision makers often need to make use of first-hand, in-depth, and contextual capacity to collect business data from highly distributed systems around the globe; to employ analytics techniques to discover business relationships; to communicate and collaborate effortlessly with clients, partners, and analysts; and to evolve a highly successful business practice. Business intelligence, analytics, and data science are overlapping fields that encompass the technologies, systems, architectures, and tools that support managerial decision making in this data-driven climate.
BTMA 444 approaches business intelligence and analytics from a managerial viewpoint. Students are expected to orient their study toward making strategic business decisions using analytics data derived from business tools. The assignments are designed to offer students choice and flexibility to explore their interests within the field of analytics and to demonstrate their ability to apply course concepts to real-world contexts.
- Lesson 1: Data-Driven Decision Making
- Lesson 2: Data Processing, Modeling, Reporting, and Visualization
- Lesson 3: Data Warehousing and Performance Management
- Lesson 4: Data Mining
- Lesson 5: Text, Web, and Social Media Analytics
- Lesson 6: Optimization and Simulation
- Lesson 7: Big Data Concepts and Tools
- Lesson 8: Future Trends, Ethics, and Managerial Considerations in Analytics
|Activity||Credit Weight||When to Complete|
|Assignment 1: Final Project Proposal||5%||as soon as possible|
|Assignment 2||15%||after Lesson 4|
|Assignment 3||15%||after Lesson 8|
|Assignment 4: Final Project||30%||after receiving approval for Assignment 1|
|Final Examination||30%||after Lesson 8|
To learn more about assignments and examinations, please refer to Athabasca University's online Calendar.
The final examination for this course must be taken online with an AU-approved exam invigilator at an approved invigilation centre. It is your responsibility to ensure your chosen invigilation centre can accommodate online exams. For a list of invigilators who can accommodate online exams, visit the Exam Invigilation Network.
Sharda, R., Delen, D., & Turban., E. (2018). Business intelligence, analytics, and data science: A managerial perspective (4th ed.). Boston: Pearson Education
A print version of the eText may be available for purchase from the publisher through a direct-to-student link provided on the course website; you can also acquire the textbook on your own if you wish.
All other learning resources will be available online.
Challenge for Credit Overview
The Challenge for Credit process allows you to demonstrate that you have acquired a command of the general subject matter, knowledge, intellectual and/or other skills that would normally be found in a university-level course.
Full information about Challenge for Credit can be found in the Undergraduate Calendar.
Written assignment (60%) and online exam (3 hours; 40%)
Undergraduate Challenge for Credit Course Registration Form
Athabasca University reserves the right to amend course outlines occasionally and without notice. Courses offered by other delivery methods may vary from their individualized-study counterparts.
Opened in Revision 1, December 13, 2019.