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