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Across
  1. 4. – Dividing data or customers into smaller useful groups.
  2. 5. Chain – Steps involved in making and delivering goods.
  3. 6. – Drawing conclusions from data.
  4. 7. – Managing money or funds.
  5. 10. -Studying data to find useful patterns.
  6. 12. – Suggesting what should be done.
  7. 14. – A planned way to achieve goals.
  8. 15. – Useful discoveries from data analysis.
  9. 18. – Moral rules guiding behavior.
  10. 19. – Useful information from analysis.
  11. 21. – Business related to farming.
  12. 22. – Making a process as efficient as possible.
  13. 23. – Predicting future trends using data.
  14. 24. - Very large data sets needing special tools.
  15. 26. – Predicting what might happen next.
  16. 27. – Showing data in charts or graphs.
  17. 28. – Daily activities of a business.
  18. 29. – Protecting data from misuse.
  19. 30. – Software for creating graphs (e.g., Excel, Power BI).
Down
  1. 1. – Describing what has happened from data.
  2. 2. – Choosing the best action from options.
  3. 3. – Standard or level of excellence.
  4. 8. – Removing wrong or repeated data.
  5. 9. – Promoting and selling products or services.
  6. 11. – An assumption tested with data.
  7. 13. – Checking how effective something is.
  8. 16. -Facts and figures collected for analysis.
  9. 17. – How well something works or succeeds.
  10. 20. – Examining data to discover insights.
  11. 25. – Finding reasons behind outcomes.