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