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Across
  1. 3. Using data to optimize supply chain operations.
  2. 5. Marketing decisions based on analytics.
  3. 6. Forecasting agricultural output using data.
  4. 8. Representing data graphically.
  5. 11. Evaluating potential financial losses.
  6. 13. Ensuring the right people with the right skills are available.
  7. 15. Popular data visualization software.
  8. 17. Accuracy, completeness, and reliability of data.
  9. 18. Return on investment
  10. 19. Using data to make informed decisions.
  11. 20. Preventing unauthorized access to data.
  12. 23. Microsoft business intelligence tool.
  13. 24. Removing errors from datasets.
  14. 25. Technique used to understand and clean raw data before analysis
  15. 28. The statement that suggests there is an effect or difference.
  16. 29. Rules or moral principles guiding responsible data use.
  17. 30. Breaking down and examining the data to find patterns or insights.
Down
  1. 1. Predicting future financial performance
  2. 2. Refers to the quality or trustworthiness of data."
  3. 4. Forecasting health outcomes using data.
  4. 7. The process of examining datasets to summarize their main characteristics.
  5. 9. Using data to improve patient care and resource management.
  6. 10. Validating assumptions statistically.
  7. 12. Improving operational efficiency.
  8. 14. Combining statistics, programming, and domain knowledge.
  9. 16. Raw facts and figures
  10. 21. Volume, Velocity, Variety, Veracity, Value.
  11. 22. Using data to improve human resource decisions.
  12. 26. Data collected automatically by digital systems like sensors or apps.
  13. 27. Science of analyzing data to gain insights.