25130
Across
- 2. – Suggests actions based on predictive data analysis.
- 9. – Presenting data in charts or dashboards for clarity.
- 12. – Safeguarding data from unauthorized access or breaches.
- 13. – Data-driven study focused on insights and performance improvement.
- 14. – Moral principles guiding responsible data use.
- 16. – Process-oriented practice that identifies and solves business problems.
- 18. – Represents the key characteristics of Big Data: Volume, Velocity, Variety, Veracity, and Value.
- 20. – The different types and formats of data collected.
- 21. – Programming language widely used for data analytics and machine learning.
- 24. – Organized data that carries specific meaning.
- 25. – A software tool used for data visualization and dashboards.
- 26. – Spreadsheet tool commonly used for data analysis.
- 27. – Forecasts future trends or outcomes using statistical models.
- 28. – Uses AI and machine learning to predict future events and patterns.
- 30. – The speed at which new data is created and processed.
Down
- 1. – Tools that analyze past and present performance for better decisions.
- 3. – Protecting individuals’ personal data from misuse.
- 4. – Professional who explores and visualizes data to find insights.
- 5. – Interpreted information applied to decision-making.
- 6. – Professional who defines business needs and recommends solutions.
- 7. – Raw, unprocessed facts collected for analysis.
- 8. – The reliability and accuracy of data sources.
- 10. – Meaningful understanding gained from analyzing data.
- 11. – Explains what happened in the past using historical data.
- 15. – The usefulness or benefit data provides to an organization.
- 17. – Extremely large, complex datasets analyzed for insights.
- 19. – Refers to the massive amount of data generated daily.
- 22. – Examines why a particular event or outcome occurred.
- 23. – Microsoft’s business-intelligence and visualization tool.
- 29. – The process of using data to identify patterns and improve decisions.