MODERN ANALYTICS (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Identify the essential components of an AI-Enabled Analytics ecosystem, such as data, tools, and processes; LO2 – describe between Analysis, Analytics, and Develop Roadmap for Implement AI-Enabled Analytics; LO3 – recognize implementing Analytics, Role of Analytics; LO4 – explain use case of Analytics and the Application of AI-Enabled Analytics in Various Business Functions.

Topics:

1. A Primer on AI-Enabled Analytics for Business;
2. Why AI-Enabled Analytics is Essential for Business;
3. Myths and Misconceptions About Analytics;
4. Applications of AI-Enabled Analytics;
5. Roadmap for How to Implement AI-Enabled Analytics in Business;
6. Executive Responsibilities to Implement Analytics;
7. Implementing Analytics;
8. The Role of Analytics in Strategic Decisions;
9. Cases of Analytics Failures from Deviation to the Roadmap;
10. Use Case : Grabbing Defeat from the Jaws of Victory;
11. Use Case : Incremental Improvement to Gain Insights;
12. Use Case : Analytics are for Everyone;
13. Review.