Across
- 2. Testable assumption in analysis
- 5. Measurement of work results.
- 8. Investigating data patterns and trends.
- 10. Key Performance Indicator.
- 11. The amount of data generated.
- 12. Study of data to gain business insights.
- 16. Analytics that recommends actions to take.
- 17. Anticipating future outcomes.
- 18. The speed at which data is generated and processed.
- 19. Analysis of workforce data.
- 20. Improving efficiency of processes.
- 21. Meaningful findings derived from data.
- 24. Removing errors or inconsistencies from data. INSPECTION Reviewing data quality and accuracy.
- 27. Analytics that identifies causes of outcomes.
- 28. The different types of data (structured, unstructured).
- 29. Coordinated marketing effort.
- 30. Managing health services for patients.
Down
- 1. Choice made based on analysis.
- 3. Day-to-day business activities.
- 4. Measure of investment returns.
- 6. Analysis of sales and demand trends.
- 7. Overseeing operations effectively.
- 9. Graphical representation of data.
- 13. Network managing product flow.
- 14. Agricultural output measurement.
- 15. Placing a brand in customers’ minds.
- 22. Selecting customer groups for marketing.
- 23. Dividing customers into distinct groups.
- 25. Analytics that forecasts future trends.
- 26. Analytics that summarizes past events.
- 31. Potential uncertainty affecting decisions.