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