ACCOUNTING ANALYTICS AND DATA INTELLIGENCE (4 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: Demonstrate the ability to apply business analytics in the global, real-world business situations and make intelligent leadership decisions; Use technology, simulation, and optimization to analyze data and develop applicable, real-world solutions to support business analytics applications; Critically evaluate use of data intelligence for supporting decision making in an organisation; Provide fundamental knowledge of the phenomenon of innovation and innovation processes in economies from the perspective of firms and industries.

Topics:

1. An Overview of Business Intelligence and Analytics of Accounting Data;
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization of Accounting Data;
3. Descriptive Analytics II: Business Intelligence and Data Warehousing;
4. Predictive Analytics I: Data Mining for Accounting Data;
5. Predictive Analytics II: Text, Web, and Social Media Analytics;
6. Prescriptive Analytics: Optimization and Simulation;
7. Accounting Data and Big Data;
8. Future Trends, Privacy and Managerial Considerations in Analytics;
9. Analytics in business and other accounting areas;
10. Business Process Innovation;
11. Enrichment Activity: Workshop Social Media Analytics;
12. Enrichment Activity: Workshop Qualitative Data Analysis (Workshop);
13. Enrichment Activity: GUEST LECTURE Topic – Data Analytics Tools in Accounting and Finance Area;
14. Enrichment Activity: Workshop Analytical Hierarchical Processing – AHP (Workshop);
15. Enrichment Activity: Workshop Problem formulation for accounting analytics (Workshop);
16. Enrichment Activity: GUEST LECTURE Topic – Data driven Innovation in Finance and Accounting Area.