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1. Explain databases, data management systems, and data warehouses. 2. Explain relational databases. 3. What are the requirements for a relational database? 4. Explain some

1. Explain databases, data management systems, and data warehouses. 2. Explain relational databases. 3. What are the requirements for a relational database? 4. Explain some of the ways data is used in accounting. 5. Describe the ETL process. 6. What are SMART questions? 7. Describe high quality data. 8. Explain data structuring. 9. Explain data standardization. 10. What is data cleaning? 11. What is necessary for data validation? 12. Explain Descriptive analytics. 13. Explain Diagnostic Analytics. 14. Explain Predictive analytics. 15. Explain Prescriptive analytics. 16. Explain data presentation and how to select the right visualization.
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1. Explain databases, data management systems, and data warehouses. 2. Explain relational databases. 3. What are the requirements for a relational database? 4. Explain some of the ways data is used in accounting. 5. Describe the ETL process. 6. What are SMART questions? 7. Describe high quality data. 8. Explain data structuring. 9. Explain data standardization. 10. What is data cleaning? 11. What is necessary for data validation? 12. Explain Descriptive analytics. 13. Explain Diagnostic Analytics. 14. Explain Predictive analytics. 15. Explain Prescriptive analytics. 16. Explain data presentation and how to select the right visualization

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