Course Description
Business intelligence provides the highest level of information support to aid the manager in the decision-making process. This course provides the skills necessary to conceptualize, build, and implement systems utilizing business intelligence in organizations.
Athena Title
Business Intelligence
Equivalent Courses
Not open to students with credit in MIST 5620
Non-Traditional Format
This course will be taught 95% or more online.
Prerequisite
MIST 4610 or MIST 4610E
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Student learning Outcomes
- Students will critically evaluate business problems and develop research design based on the formulation of a business problem.
- Students will collect, manipulate, visualize, and model data.
- Students will learn and understand the basics of big data and machine learning for business.
- Students will develop expertise in prompt engineering with generative AI.
- Students will apply generative AI to real-world business intelligence and analytics scenarios synthesizing data modeling, visualization, and business reasoning into an original solution for a real business problem. Teams are encouraged to experiment with unconventional modeling techniques, creative scenario analysis, and innovative visual storytelling.
- Students will leverage storytelling for presenting data insights, delivering a structured, professional presentation explaining their analytical process, models, and business insights, while being instructed on and practicing clarity, pacing, persuasive delivery, and the ability to answer questions from peers and the instructor. Students learn to translate complex analyses into clear, visually compelling insights appropriate for managerial audiences.
Topical Outline
- An overview of Business Intelligence and Management Support Systems
- Fundamentals of the Decision Making Process
- Decision Making and Information Technology (IT) Support
- An Overview of Decision Support Systems (DSS)
- Data Warehousing
- OLAP
- Data Mining
- Data Visualization
- Customer Relationship Management (CRM)
- Modeling and Analysis
- Revenue Management
- Group Support Systems (GSS) and other Collaborative Technologies
- DSS Development and DSS Implementation
- Executive Information Systems
- Enterprise Information Portals and Enterprise Resource Planning Systems (ERP)
- Supply Chain Management
- Knowledge Management Systems
- An Overview of Artificial Intelligence
- Expert System Fundamentals
- Knowledge Acquisition and Knowledge Representation
- Inferencing and Validation
- Artificial Neural Networks
- Genetic Algorithms
- Intelligent Agents
- Fuzzy Logic
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
Communication
The ability to effectively develop, express, and exchange ideas in written, oral, interpersonal, or visual form.
Creativity & Innovation
The capacity to combine or synthesize existing ideas, images, or expertise in original ways and the experience of thinking, reacting, and working in an imaginative way characterized by innovation, divergent thinking, and risk taking.
Critical Thinking
The ability to pursue and comprehensively evaluate information before accepting or establishing a conclusion, decision, or action.
Leadership & Collaboration
The capacity to engage in the relational process of optimizing personal and collective strengths toward a common goal.
