Across
- 5. Software like Tableau or Power BI for charts
- 7. Responsible and fair use of data
- 11. Raw facts collected for analysis
- 13. Predictive modeling technique
- 14. Processed data that is meaningful
- 15. Advanced analysis using statistics and algorithms
- 17. Language used to manage and query databases
- 19. Central storage of integrated data
- 20. Key measure of business performance
- 21. Accuracy and reliability of data
- 23. Initial investigation to find patterns and anomalies
- 25. Selecting actions based on insights
- 26. Graphical representation of data
- 29. Analysis of historical data to understand trends
- 30. Real-world example used for evaluation
Down
- 1. Understanding business needs and solutions
- 2. Removing errors and inconsistencies from data
- 3. Large complex data sets requiring advanced tools
- 4. Relationship between two variables
- 6. Quantitative measures for evaluation
- 8. Discovering patterns in large datasets
- 9. Reporting and dashboards for decision support
- 10. Visual display of key business metrics
- 12. Suggesting actions based on predictions
- 16. Algorithms that learn patterns from data
- 18. Statistical method for decision making
- 22. Forecasting future outcomes using models
- 24. Systematic analysis of data to support decision-making
- 27. Valuable understanding derived from data analysis
- 28. Selecting a subset of data for analysis