CIS-355 introduces concepts in business intelligence and explores how business intelligence (BI) applications can help improve management effectiveness through better decision-making in various scenarios. The benefits of BI and appropriate applications are discussed, and students use current BI tools to develop realistic solutions and gain hands-on experience, along with current trends and the growing role of big data.
BI as a decision-making improvement tool
The course frames business intelligence specifically around improving management decision-making, not as a purely technical data analysis exercise — BI's value lies in making better business decisions possible, not in the sophistication of the tools alone.
Hands-on experience with current BI tools and big data trends
CIS-355 pairs conceptual BI understanding with hands-on use of current BI tools to build realistic solutions, while also addressing the growing role of big data in shaping how organizations now approach business intelligence.
Key topics in CIS355
- Business intelligence fundamentals
- BI's role in management decision-making
- Hands-on use of current BI tools
- Developing realistic BI solutions
- Big data's growing role in BI
- Current trends in business intelligence
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Worked example: BI tools improving a real management decision
- Without BI: A management decision made on incomplete or intuition-based information
- With BI: The same decision informed by BI tools surfacing genuine patterns and trends in organizational data
- Lesson: CIS-355 teaches that BI's real value is measured by better decisions it enables, not by the technical sophistication of the tools used to produce it
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Frequently asked questions
A business intelligence application that produces technically impressive analysis but doesn't actually clarify or improve a real management decision hasn't delivered its genuine intended value, since BI exists specifically to help organizations make better-informed choices, not simply to process and visualize data. CIS-355 frames the course around decision-making because this business purpose is what distinguishes valuable BI work from data analysis that, however sophisticated, fails to connect to a real organizational decision.
As organizations generate and have access to increasingly large and varied datasets, business intelligence tools and approaches have had to evolve to handle this scale and complexity, meaning understanding big data's growing role is now essential context for understanding where BI practice is heading and what capabilities modern BI tools need. CIS-355 covers this because staying current with big data trends is necessary for genuinely up-to-date business intelligence competency, not an optional add-on to traditional BI concepts.