Define, explain in detail, then present an actual example via research with references. Your paper must provide in-depth analysis of all the topics...

Define, explain in detail, then present an actual example via research with references. 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