Business Intelligence for Accounting

Learning Outcomes

After completing this course, student will be able to : Understand about general framework for business intelligence and highlighting the connections with other disciplines; Understand about the structure of the decision-making process and introduces the concept of decision support system; Understand about data warehouses and data marts; Understand about the main characteristics of mathematical models used for business intelligence analyses; Understand about the phases of a data mining process and their objectives; Understand about the activities of data preparation for business intelligence and data mining (including data validation, anomaly detection, data transformation and reduction); Understand about mathematical models for pattern recognition; Understand about application of data mining to relational marketing, models for salesforce planning, models for supply chain optimization.

Topics

1. Business intelligence
2. Decision support system
3. Data warehousing
4. Mathematical models for decision making
5. Data mining, preparation and exploration
6. Regression
7. Tme series
8. Classification
9. Association
10. Clustering
11. Marketing models
12. Logistic and production models.