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Aug 06, 2026
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INFM 219 - Business Intelligence & Storytelling
PREREQUISITES: INFM 109 - Informatics Fundamentals or AAIT 110 - AI Essentials
PROGRAM: Informatics
CREDIT HOURS MIN: 3
LECTURE HOURS MIN: 3
TOTAL CONTACT HOURS MIN: 48
DATE OF LAST REVISION: Spring, 2020
This course teaches students how to transform data into persuasive stories, arguments, and strategic recommendations for real-world business decisions. Students learn core principles of business intelligence, insight interpretation, and data communication. Emphasis is placed on identifying meaningful patterns, framing narratives, constructing evidence-based recommendations, and tailoring insights to diverse audiences. Through hands-on practice, students apply data to solve business problems, design visual and written insight deliverables, and make compelling cases for action using data they access, analyze, and interpret.
MAJOR COURSE LEARNING OBJECTIVES:
- Interpret business intelligence data to identify key insights, opportunities, and decision pathways aligned with organizational goals.
- Apply data storytelling and decision-support techniques to develop insight solutions for varied business functions and real-world use cases.
- Construct clear and coherent narratives that connect findings to business context, implications, and strategy.
- Design visual communication products-dashboards, charts, and storyboards-that reinforce insights and guide stakeholder decision-making.
- Evaluate data quality, limitations, bias risks, and contextual constraints relevant to BI narratives.
- Formulate evidence-based recommendations that leverage data to influence stakeholder perspectives and justify action.
COURSE CONTENT: Topical areas of study include -
- Business intelligence concepts, metrics, and decision pathways
- Insight identification, trend interpretation, and business context
- Data storytelling frameworks and narrative construction
- Evidence-based recommendations and decision-support communication
- Visual storytelling principles
- Data quality, bias, limitations, and ethical interpretation
- Cross-functional business use cases
- Integrated data story development and presentation
Course Addendum - Syllabus (Click to expand)
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