Discussion
● Discuss and explain the concept of Key Performance Indicators (KPI) in the context of performance management.
● Explain the main data mining methods. What are the fundamental differences among them? (APA Format)
Paper:
Using your textbook, LIRN, other researchable databases, and the Internet, develop an APA formatted paper. Your paper must include in-text citations, references, critical thinking, creativity and innovation, and written from the perspective of a researcher. Your analysis should take on a 3-paragraph format; Define, explain in detail, then present an actual example via research. Your paper must provide in-depth analysis of all the topics presented:
● Understand the nature of data as it relates to business intelligence (BI) and analytics
● Learn the methods used to make real-world data analytics ready
● Describe statistical modeling and its relationship to business analytics
● Learn about descriptive and inferential statistics
● Define business reporting, and understand its historical evolution
● Understand the importance of data/information visualization
● Learn different types of visualization techniques
● Appreciate the value that visual analytics brings to business analytics
● Know the capabilities and limitations of dashboards
● Understand the basic definitions and concepts of data warehousing
● Understand data warehousing architectures
● Describe the processes used in developing and managing data warehouses
● Explain data warehousing operations
● Explain the role of data warehouses in decision support
● Explain data integration and the extraction, transformation, and load (ETL) processes
● Understand the essence of business performance management (BPM.)
● Learn balanced scorecard and Six Sigma as performance measurement systems
