25352

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Across
  1. 1. – Data analysis to improve medical outcomes.
  2. 3. – Measuring the return generated on investments.
  3. 9. – Controlling stock levels efficiently.
  4. 10. – Identifying business needs and recommending solutions.
  5. 15. – Predicting future sales performance.
  6. 16. – Protecting digital information from unauthorized access.
  7. 19. – Data attributes that can change or vary.
  8. 20. – Storing and accessing data via the internet.
  9. 22. – Selecting a portion of data for analysis.
  10. 24. – Application of technology in agriculture.
  11. 26. – Using sensors and AI in modern agriculture.
  12. 27. – Extract, Transform, Load — a data preparation process.
  13. 28. – Understanding customer behavior through data.
  14. 29. – Drawing conclusions from sample data.
  15. 30. – Measurement of care quality from patient feedback
Down
  1. 2. – Sequence of steps from data collection to insight delivery.
  2. 4. – Evaluating an employee’s job performance.
  3. 5. – Indicators used to measure efficiency of work.
  4. 6. – Summarizing data using mean, median, and mode.
  5. 7. – Combining data from multiple sources into one view.
  6. 8. – The field combining statistics, computing, and domain knowledge.
  7. 11. – Tool displaying real-time performance metrics.
  8. 12. – Measure of how accurate and reliable data is.
  9. 13. – Financial metric showing company profitability.
  10. 14. – Process flow that moves and transforms data.
  11. 17. – Moral principles for responsible data use.
  12. 18. – Using data to improve supply operations.
  13. 21. – Efforts to keep employees in the company.
  14. 23. – Predicting customer demand for products.
  15. 25. – Estimating income and expenditure over time.