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Across
  1. 7. – Use of artificial intelligence with fairness and transparency.
  2. 8. – Studying data points collected over time.
  3. 9. – Methods to achieve the most efficient solution.
  4. 12. – Ensuring products or services meet standards.
  5. 20. – Difference between current assets and liabilities.
  6. 23. – Measuring results of employee learning programs.
  7. 27. – Step-by-step rules used for solving analytical problems.
  8. 28. – Tracking costs of business processes.
  9. 29. – Visual summary of key performance data.
  10. 30. – Devices that collect and transmit intelligent data.
Down
  1. 1. – Structuring data relationships for analysis.
  2. 2. – Rate at which employees leave an organization.
  3. 3. – Ensuring data entered is accurate and reliable.
  4. 4. – Predictive model mapping choices and possible outcomes.
  5. 5. – Tool to measure investment efficiency.
  6. 6. – Predicting atmospheric conditions for planning.
  7. 10. – Converting data into a suitable analysis format.
  8. 11. – Real-time tracking of goods and data in logistics.
  9. 13. – Summary reports showing company finances.
  10. 14. – How efficiently assets and manpower are used.
  11. 15. – Grouping data points with similar characteristics.
  12. 16. – Comparing actual results to planned figures.
  13. 17. – Application of information systems to healthcare data.
  14. 18. – Identifying unusual values that deviate from the dataset.
  15. 19. – Number of times stock is sold or used in a period.
  16. 21. – Continuous tracking of patient health indicators.
  17. 22. – Finding when total cost equals total revenue.
  18. 24. – Organizing data in databases to reduce redundancy.
  19. 25. – Preparing employees to fill future key roles.
  20. 26. – Digital system providing analytics for farmers.